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Professor Chengqi Zhang

Core Member, Centre for Quantum Computation and Intelligent Systems
Director, Centre for Quantum Computation and Intelligent Systems

B.Sc, BSc (Fudan), MSc (JLU), PhD (UQ), DSc (Deakin)

Member, Association for the Advancement of Artificial Intelligence
Fellow, Australian Computer Society
Senior Member, Institution of Electrical and Electronic Engineers

Email: Chengqi.Zhang@uts.edu.au
Phone: +61 2 9514 7941
Fax: +61 2 9514 4517
Room: CB10.04.568 (map)
Mailing address: PO Box 123, Broadway NSW 2007, Australia

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Biography

Chengqi Zhang has been a Research Professor in Information Technology at The University of Technology, Sydney (UTS) since December 2001. He has been the Director of the UTS Priority Investment Research Centre for Quantum Computation and Intelligent Systems since April 2008. He has been Chairman of the Australian Computer Society National Committee for Artificial Intelligence since November 2005. He has been elected as the founding Chair of Steering Committee of International Conference on Knowledge Science, Engineering, and Management since 2006.

Prof. Zhang obtained his PhD degree from Queensland University in 1991, followed by a Doctor of Science (DSc – Higher Doctorate) from Deakin University in 2002.

Prof. Zhang’s research interests mainly focus on Distributed Artificial Intelligence, Data Mining and its applications. He has published more than 200 refereed research papers, including several in first-class international journals, such as Artificial Intelligence (he is the first author who published a paper in this world renowned Journal in distributed Artificial Intelligence research area world-wide in 1992), IEEE and ACM Transactions. He has published six monographs and edited 16 books. He has delivered 12 keynote/invited speeches at international conferences over the last six years. He has attracted seven Australian Research Council grants.

The centre he leads at UTS demonstrates very strong research outputs in terms of quality publications, national competitive grants, industry grants, research student training and international standing. This centre is one of the strongest IT related research centres in Australia.

Prof. Zhang is a Fellow of the Australian Computer Society (ACS) and a Senior Member of the IEEE Computer Society (IEEE). He has been serving as an Associate Editor for three international journals, including IEEE Transactions on Knowledge and Data Engineering, from 2005 to 2008; and he served as General Chair, PC Chair, or Organising Chair for five international Conferences including ICDM and WI/IAT. He had been the Assessor of Chinese Academy of Sciences and evaluated the applications of National Science Awards and Chang-Jiang Scholars.

Professional

Journal Editorial Board:
An Associate Editor for "IEEE Transactions on Knowledge and Data Engineering" (IEEE-TKDE) by IEEE Publisher from Jan. 2005 to Dec. 2008.
An Editor for "Web Intelligence and Agent Systems: An International Journal" (WIAS) by IOS Press since it started in 2003.
An Associate Editor for "International Journal of Data Warehousing and Mining" (IJDWM) by IGP Press since it started in 2004.
An Associate Editor for "International Journal of Innovational Computing & Information Control" (IJICIC) since it started in 2004.
An Editor for "International Journal of Computational Intelligence" (IJCI) since 2003.
An Associate Editor for "Knowledge and Information Systems: An International Journal" (KAIS) by Springer-Verlag from1998 to Jan. 2006.

Executive Committee:
Chair of "The ACS National Committee for Artificial Intelligence" since 2006.
Chair of Steering Committee of "The International Conference on Knowledge Science, Engineering, and Management (KSEM)" since 2006.
Chair of Planning Committee of "Pacific Rim International Workshop on Multi-Agents (PRIMA)" from 2000 to 2002.
Member of Steering Committee of "Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)" since 2004.
Member of Steering Committee of "Pacific Rim International Conference on Artificial Intelligence (PRICAI)" since 2004.
Member of Steering Committee of "International Conference on Advanced Data Mining and Applications (ADMA)" since 2006.

Professional Society:
A Fellow for Australian Computer Society, No. 3032411 since 2006.
A Senior Member for The Institute of Electrical and Electronics Engineers, INC. (IEEE). No. 1711670 since 1995.
A Member for Association for the Advancement Artificial Intelligence (AAAI), No. 37757 since 1995.
An Overseas Assessor for Chinese Academy of Sciences from Jan. 2005 to Dec. 2008.

Chairs for Conference Committees:
General co-Chair for The 10th IEEE International Conference on Data Mining (ICDM 2010), 13-17 December 2010, Sydney, Australia.
General co-Chair for The 2008 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, (WI'08 and IAT'08), 9-12 December 2008, Sydney, Australia.
General co-Chair for 2nd International Conference on Advanced Data Mining and Applications (ADMA'06), 14-16 August 2006, Xi'An, China.
General co-Chair for 1st International Conference on Knowledge Science, Engineering, and Management (KSEM'06), 6-8 August 2006, Guilin, China.
Program Committee co-Chair for 8th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2004), 9-13 August 2004, Auckland, New Zealand.
General co-Chair for 8th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2004), 24-28 May 2004, Sydney, Australia.
Program Committee Co-chair of for 3rd Pacific Rim International Workshop on Multi-Agents (PRIMA 2000), Melbourne, Australia, 28 - 29, August 2000.
Organizing Committee Chair for 6th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2000), Melbourne, Australia, 28 August - 2 September, 2000.
Regional Liaison for Asia/Pacific, 4th International Conference on MultiAgent Systems (ICMAS'2000), Boston, USA, July 7-12, 2000.
A Workshop Coordinator: 12th Australian Joint Conference on Artificial Intelligence (AI'99), Sydney, Australia, 6 - 10 December, 1999.
Program Committee co-Chair, 2nd Pacific Rim International Workshop on Multi-Agents (PRIMA'99), Kyoto, Japan, 2 - 3 December, 1999.
Program Committee co-Chair, 7th Australian Joint Conference on Artificial Intelligence (AI'94), Armidale, Australia (1994).
Program Committee co-Chair: 4th Australian Workshop on Distributed Artificial Intelligence (DAI'98), Brisbane, Australia (1998).
Program Committee co-Chair: 3rd Australian Workshop on Distributed Artificial Intelligence (DAI'97), Perth, Australia (1997).
Program Committee co-Chair: 2nd Australian Workshop on Distributed Artificial Intelligence (DAI'96), Cairns, Australia (1996).
Program Committee co-Chair: 1st Australian Workshop on Distributed Artificial Intelligence (DAI'95), Canberra, Australia (1995).

Keynote and Invited Speeches
"Knowledge Discovery from Multiple Databases", in The Second International Conference on Emerging Trend in Engineering & technology (ICETET 2009), 16-18 December 2009, Nagpur, India.
"Data Mining for Social Security in E-Government Services" in 3rd International Conference on Management of e-Commerce and e-Government (ICMeCG09), 16-19 September 2009, Nanchang, China.
"Developing Actionable Trading Strategies for Trading Agents" in International Joint Conference on Web Intelligence and Intelligent Agent Technology, 15-18 September 2009, Milan, Italy.
"Agent & Data Mining Interaction: mutual benefits for both communities" in 3rd International KES Symposium on Agents and Multi-agent Systems – Technologies and Applications, 3-5 June 2009, Uppsala, Sweden.
"Combined Association Rules Mining" in National Database Conference of China, 23-25 October 2008. Guilin, China.
"Against Expectation Mining for Stock Market Surveillance", in Symposium of new technology and applications on Security technology, 23 -24 August 2007, Chengdu, China.
"Data Mining for Stock Markets" in the International workshop of Data Mining for Business, 22 May 2007, Nanjing, China
"Activity Mining to Strengthen Debt Prevention" in Joint Rough Set Symposium, 14-16 May 2007, Toronto, Canada.
"Missing Data Imputation with Parameter Optimization" in The First International Conference on Innovative Computing, Information and Control on 30 August – 1 September 2006 in Beijing, China.
"Domain-Driven Data Mining: Methodologies and Applications" in The Fourth International Conference on Active Media Technology on 7-9 June 2006 in Brisbane, Australia.
"In-Depth Data Mining and Its Applications in Stock Market" in The First International Conference on Advanced Data Mining and Applications on 22-24 July 2005 in Wuhan, China.
"Agent and Data Mining: Mutual Enhancement by Integration" in Autonomous Intelligent Systems: Agents and Data Mining (AIS-ADM-05) Workshop on 6-8 June 2005 in St Petersburg, Russian.
International ICSC Congress on Intelligent Systems and Applications on 11 December 2000 in Wollongong, Australia.

Guest Editors
Chengqi Zhang, Philip S. Yu, and David Bell, Special Issue on "Domain-Driven Data Mining", IEEE Transactions on Knowledge and Data Engineering, June 2010.
Longbing Cao, Zili Zhang, Vladimir Gorodetsky, Chengqi Zhang. Special Issue on "Interaction between agents and data mining", International Journal of Intelligent Information and Database Systems, 1(4): 2007.
Chengqi Zhang, Qiang Yang, and Bing Liu, Special Issue on "Intelligent Data Preparation", IEEE Transactions on Knowledge and Data Engineering, 17:9, Sept. 2005.
Shichao Zhang, Chengqi Zhang, and Qiang Yang, Special Issue on "Information Enhancement for Data Mining", IEEE Intelligent Systems, 19:2, March/April, 2004.
Shichao Zhang, Chengqi Zhang, and Qiang Yang, Special Issue on "Data Preparation for Data Mining", Applied Artificial Intelligence: an International Journal, 17:5-6, May-July 2003.
Chengqi Zhang, Ling Guan, and Zheru Chi, Special Issue on "Learning in Intelligent Algorithms and Systems Design", Journal of Advanced Computational Intelligence, 3:6, Dec. 1999.

Teaching areas

I am the Research Professor since 2002. Before 2002, I taught at Deakin University for three years, and at the University of New England (UNE) for nine years. I also taught in the Chinese University of Hong Kong for half a year in 2003 whilst on sabbatical leave. My teaching covered a wide range from first year undergraduate units to postgraduate units, including: "Introduction to Business Information Technology" for first-year students, "Data Structures" and "Database" for second-year students, "Electronic Business", "Advanced Database", "Non-procedural Languages", and "Knowledge Engineering" for third-year students, "Expert Systems", "Advanced Non-procedural Languages", "Distributed Artificial Intelligence", "Logical Foundation of Artificial Intelligence", "Knowledge Management" and "Introduction to Multi-Agent Systems" for Honours and Masters students. I received very positive feedback from my students.

In addition, I have mentored junior staff by assessing the peer-to-peer teaching performance by attending their classes. I have received positive feedback from staff who acknowledge that their performance has been enhanced by my support.

Research

Research interests
Chengqi Zhang's key areas of research are Data Mining and Multi-Agent Systems. He has achieved outstanding research results and provided excellent leadership during his academic career. He has undertaken very important theoretical research to discover new knowledge, such as co-ordination under uncertainty in Multi-Agent Systems, Negative Association Rule mining, Multi-Database mining, and Domain Driven Data Mining, which are recognised in high quality publications. His research has also been applied in industry, in particular the financial industry: Stock-Markets. To date, he has attracted more than $2,000,000 in research grants (mostly awarded by the Australia Research Council – ARC), published more than 200 refereed papers, edited nine books, and published five monographs. Some of his papers have been published in highly prestigious international journals such as Artificial Intelligence, IEEE Transactions, and ACM Transactions. He undertakes individual research, and he also leads his own highly-regarded research group. Currently, He is the Director of the UTS Research Centre for Quantum Computation and Intelligent Systems, as well as a leader for the Data Mining Program with the Australian Capital Markets Cooperative Research Centre.

Research supervision: Yes
Graduated PhD Students

Year (awarded) Student Name Thesis Title Degree Current job and place
2010 Yuming Ou Discovering Microstructure Behavior Patterns for Stock Market Surveillance PhD Research Fellow (UTS)
2009 Dan Luo Actionable Knowledge Discovery: Methodologies and Frameworks PhD Research Fellow (UTS)
2007 Jiarui Ni Hybrid Agents-oriented Trading Support System PhD Research Fellow (UTS)
2007 Yangchang Zhao Dimension Reduction and Data Clustering for Time Series Data PhD Senior Research Scientist at Centrelink, Australian Government
2007 Wanli Chen An Integrated Investment Decision-support Framework Analyzing and Synthesizing Multi-dimensional Market Dynamics (Under examination) PhD Business Intelligence Analyst in a global (French) Company

2007 Zhenxing Qin Multiple Costs and Their Combination in Cost Sensitive Learning (Under examination) PhD Research Fellow (UTS)
2006 Li Lin In-Depth Optimization of Stock Market Data Mining Technologies PhD
2006 Jiaqi Wang Diversification Philosophy and Boosting Technique for Trade Execution Strategy PhD Algorithmic Strategist
in UBS in Hong Kong
2005 Chunsheng Li An Agent-Oriented Methodology for Hybrid Intelligent System Construction PhD Assistant President
Daqing Petroleum Institute
2005 Longbing CAO Organization and Service Oriented Analysis and Design
---- Engineering Open Complex Agent Systems PhD Research Professor (UTS)
2004 Qingfeng Chen The Verification Logic for Secure Transaction Protocols PhD PostDoctoral Fellow (Deakin University)
2004 Xiaowei Yan Mining Associate Rules with Database-Independent Constraints PhD Postdoctoral Fellow (USA)
2002 Shichao Zhang Knowledge Discovery in Multi-Databases by Analyzing Local Instances PhD Associate Professor (UTS)
2002 Zili Zhang Agent Based Hybrid Framework for Decision Making on Complex Problems PhD Senior Lecturer (Deakin)
2001 Yuefeng Li Modeling Intelligent Agents for Web-Based Information Gathering PhD Associate Professor (QUT)
2000 Yue Xu An Abductive Model Based on Belief Network and ATMS PhD Senior Lecturer (QUT)
1999 Xudong Luo A Study of Sharing Information among Heterogeneous Reasoning Systems in a Multi-agent Environment PhD Research Fellow (U.K.)
1998 Jirapun Daengdej RICAD: A Case-Based System For Predicting Risk of Insurance Customers PhD Lecturer (Thailand)
1997 Xiandeng Hu Sustainable Design of Effluent Irrigation Systems PhD Lecturer (UQ)
1996 Minjie Zhang Synthesis of Solutions in Distributed Expert Systems PhD Associate Professor (U. of Wollongong)

Current PhD Students
Year (start) Student Name Research areas Degree
2009 Wei Wei Mining hidden groups in network intrusion PhD
2009 Yong Yang Data Mining in behaviour PhD
2008 Shanshan Wu Data Mining in Social Security PhD
2007 Chao Luo Data Mining in Stock Market Surveillance PhD
2007 Guohua Liang Health Data Mining PhD

Projects

Publications

Books

Cao, L., Yu, P.s., Zhang, C. & Zhao, Y. 2010, Domain Driven Data Mining, 1, Springer, New York, USA.
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Chen, Q., Zhang, C. & Zhang, S. 2008, Secure Transaction Protocol Analysis, 1, Springer, Berlin, Germany.
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Zhang, Z. & Zhang, C. 2004, Agent Based Hybrid Intelligent Systems, 1, Springer-Verlag, Berlin, Germany.
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Book Chapters

Su, G., Ying, M. & Zhang, C. 2010, 'An ADL-Approach to Specifying and Analyzing Centralized-Mode Architectural Connection' in Muhammad Ali Babar and Ian Gorton (eds), Lecture Notes in Computer Science 6285 - Software Architecture, Springer, Germany, pp. 8-23.
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Yang, Y., Luo, D. & Zhang, C. 2010, 'A Multiple System Performance Monitoring Model for Web Services' in Longbing Cao, Ana L.C. Bazzan, Vladimir Gorodetsky, Pericles A. Mitkas, GerhardWeiss, Philip S.Yu (eds), Lecture Notes in Artificial Intelligence 5980 - Agents and Data Mining Interaction, Springer, Germany, pp. 149-161.
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Zhang, H., Zhao, Y., Cao, L., Zhang, C. & Bohlscheid, H. 2010, 'Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event' in Yun Sing Koh; Nathan Rountree (eds), Rare Association Rule Mining and Knowledge Discovery: Technologies for Infrequent and Critical Event, IGI Global, Hershey, Pennsylvania, pp. 66-75.
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Cao, L., Yu, P.S., Zhang, C. & Zhang, H. 2009, 'Introduction to Domain Driven Data Mining' in Cao, Longbing; Yu, Philip S.; Zhang, Chengqi; Zhang, Huaifeng (eds), Data Mining for Business Applications, Springer, New York, USA, pp. 3-10.
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Moemeng, C., Gorodetsky, V., Zuo, Z., Yang, Y. & Zhang, C. 2009, 'Agent-Based Distributed Data Mining: A Survey' in Longbing Cao (ed), Data Mining and Multi-agent Integration, Springer, New York, USA, pp. 1-12.
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Wu, S., Zhao, Y., Zhang, H., Zhang, C., Cao, L. & Bohlscheid, H. 2009, 'Debt Detection in Social Security by Adaptive Sequence Classification' in Dimitris Karagiannis; Zhi Jin (eds), Knowledge Science, Engineering and Management, Springer, Germany, pp. 192-203.
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Zhao, Y., Cao, L., Zhang, H. & Zhang, C. 2009, 'Data Clustering' in Viviana E. Ferraggine, Jorge Horacio Doorn, Laura C. Rivero (eds), Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Tr, IGI Global, USA, pp. 562-572.
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Zhao, Y., Zhang, H., Cao, L., Bohlscheid, H., Ou, Y. & Zhang, C. 2009, 'Data Mining Applications in Social Security' in Longbing Cao, Philip S. Yu, Chengqi Zhang and Huaifeng Zhang (eds), Data Mining for Business Applications, Springer, New York, USA, pp. 81-96.
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Cao, L. & Zhang, C. 2008, 'Domain Driven Data Mining' in David Taniar (ed), Data Mining and Knowledge Discovery Technologies, IGI Global, USA, pp. 196-223.
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Cao, L., Zhang, C., Luo, D. & Dai, R. 2007, 'Intelligence Metasynthesis in Building Business Intelligence Systems' in J. G. Carbonell, J. Siekmann, Ning Zhong, Jiming Liu, Yiyu Yao, Jinglong Wu, Shengfu Lu, Kuncheng Li (eds), Lecture Notes in Artificial Intelligence - Lecture Notes in Computer Science (Book Series), Springer, Germany, pp. 454-470.
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Zhang, Z. & Zhang, C. 2004, 'Constructing hybrid intelligent systems for data mining from agent perspectives' in Zhong, N; Liu,J. (eds), Intelligent Technologies for Information Analysis, Springer, Berlin, Germany, pp. 333-359.

Journal Articles

Liang, G. & Zhang, C. 2012, 'A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification', Lecture Notes in Computer Science, vol. 7691, pp. 637-648.
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Liu, T.T., Lipnicki, D., Zhu, W., Tao, D., Zhang, C., Cui, Y., Jin, J., Sachdev, P. & Wen, W. 2012, 'Cortical Gyrification And Sulcal Spans In Early Stage Alzheimer'S Disease', PLoS One, vol. 7, no. 2.
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Song, M., Tao, D., Chen, C., Bu, j., Luo, J. & Zhang, C. 2012, 'Probabilistic Exposure Fusion', IEEE Transactions On Image Processing, vol. 21, no. 1, pp. 341-357.
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Wang, T., Qin, Z., Zhang, S. & Zhang, C. 2012, 'Cost-sensitive Classification with Deficient Labeled Data', Information Systems, vol. 37, no. 5, pp. 508-516.
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Zhang, S., Chen, F., Wu, X., Zhang, C. & Wang, R. 2012, 'Mining bridging rules between conceptual clusters', Applied Intelligence, vol. 36, no. 1, pp. 108-118.
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Cao, L., Zhang, H., Zhao, Y., Luo, D. & Zhang, C. 2011, 'Combined Mining: Discovering Informative Knowledge in Complex Data', IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 41, no. 3, pp. 699-712.
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Yang, T., Kecman, V., Cao, L., Zhang, C. & Huang, J. 2011, 'Margin-Based Ensemble Classifier For Protein Fold Recognition', Expert Systems with Applications, vol. 38, no. 10, pp. 12348-12355.
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Zhao, Y., Cao, J., Zhang, C. & Zhang, S. 2011, 'Enhancing grid-density based clustering for high dimensional data', Journal of Systems and Software, vol. 84, no. 9, pp. 1524-1539.
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Zhu, X., Ding, W., Yu, P.s. & Zhang, C. 2011, 'One-class learning and concept summarization for data streams', Knowledge And Information Systems, vol. 28, no. 3, pp. 523-553.
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Zhu, X., Li, B., Wu, X., He, D. & Zhang, C. 2011, 'CLAP: Collaborative pattern mining for distributed information systems', Decision Support Systems, vol. 52, no. 1, pp. 40-51.
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Cao, L., Zhao, Y., Zhang, H., Luo, D., Zhang, C. & Park, E. 2010, 'Flexible Frameworks For Actionable Knowledge Discovery', IEEE Transactions On Knowledge And Data Engineering, vol. 22, no. 9, pp. 1299-1312.
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Qin, Y., Zhang, S. & Zhang, C. 2010, 'Combining Knn Imputation And Bootstrap Calibrated Empirical Likelihood For Incomplete Data Analysis', International Journal of Data Warehousing and Mining, vol. 6, no. 4, pp. 61-73.
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Ou, Y., Cao, L. & Zhang, C. 2009, 'Adaptive Anomaly Detection of Coupled Activity Sequences', The IEEE Intelligent Informatics Bulletin, vol. 10, no. 1, pp. 12-16.
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Qin, Y., Zhang, S., Zhu, X., Zhang, J. & Zhang, C. 2009, 'Estimating confidence intervals for structural differences between contrast groups with missing data', Expert Systems with Applications, vol. 36, no. 3, pp. 6431-6438.
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Qin, Y., Zhang, S., Zhu, X., Zhang, J. & Zhang, C. 2009, 'POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases', Expert Systems with Applications, vol. 36, no. 2, pp. 2794-2804.
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Yan, X., Zhang, C. & Zhang, S. 2009, 'Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support', Expert Systems with Applications, vol. 36, no. 2, pp. 3066-3076.
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Yan, X., Zhang, C. & Zhang, S. 2009, 'Confidence Metrics For Association Rule Mining', Applied Artificial Intelligence, vol. 23, no. 8, pp. 713-737.
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Zhang, H., Zhao, Y., Cao, L., Zhang, C. & Bohlscheid, H. 2009, 'Customer Activity Sequence Classification for Debt Prevention in Social Security', Journal Of Computer Science And Technology, vol. 24, no. 6, pp. 1000-1009.
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Zhang, Z., Yang, P.H., Wu, X. & Zhang, C. 2009, 'An Agent-Based Hybrid System for Microarray Data Analysis', IEEE Intelligent Systems, vol. 24, no. 5, pp. 53-63.
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Cao, L., Zhang, C. & Zhou, M. 2008, 'Engineering open complex agent systems: A case study', IEEE Transactions On Systems Man And Cybernetics Part C-Applications And Reviews, vol. 38, no. 4, pp. 483-496.
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Cao, L., Zhao, Y. & Zhang, C. 2008, 'Mining impact-targeted activity patterns in imbalanced data', IEEE Transactions On Knowledge And Data Engineering, vol. 20, no. 8, pp. 1053-1066.
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Cao, L., Zhao, Y., Zhang, C. & Zhang, H. 2008, 'Activity mining: From activities to actions', International Journal Of Information Technology & Decision Making, vol. 7, no. 2, pp. 259-273.
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Zhang, S., Wu, X., Zhang, C. & Lu, J. 2008, 'Computing the minimum-support for mining frequent patterns', Knowledge And Information Systems, vol. 15, no. 2, pp. 233-257.
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Zhang, S., Zhang, J., Zhu, X., Qin, Y. & Zhang, C. 2008, 'Missing Value Imputation Based on Data Clustering', Lecture Notes in Computer Science, vol. 4750, no. 2008, pp. 128-138.
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Cao, L., Luo, D. & Zhang, C. 2007, 'Knowledge actionability: satisfying technical and business interestingness', International Journal of Business Intelligence and Data Mining, vol. 2, no. 4, pp. 496-514.
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Cao, L. & Zhang, C. 2007, 'The Evolution of KDD: Towards Domain-Driven Data Mining', International Journal of Pattern Recognition and Artificial Intelligence, vol. 21, no. 4, pp. 677-692.
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Chen, Q., Chen, P.Y. & Zhang, C. 2007, 'Detecting inconsistency in biological molecular databases using ontologies', Data Mining and Knowledge Discovery, vol. 15, no. 2, pp. 275-296.
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Qin, Y., Zhang, S., Zhu, X., Zhang, J. & Zhang, C. 2007, 'Semi-parametric optimization for missing data imputation', Applied Intelligence, vol. 27, no. 1, pp. 79-88.
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Yan, X., Zhang, S. & Zhang, C. 2007, 'On data structures for association rule discovery', Applied Artificial Intelligence, vol. 21, no. 2, pp. 57-79.
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Zhang, H., Zhao, Y., Cao, L. & Zhang, C. 2007, 'Class Association Rule Mining with Multiple Imbalanced Attributes', Lecture Notes in Computer Science, vol. 4830, pp. 827-831.
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Zhang, S., Zhang, J. & Zhang, C. 2007, 'EDUA: An efficient algorithm for dynamic database mining', Information Sciences, vol. 177, no. 13, pp. 2756-2767.
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Zhang, Z. & Zhang, C. 2007, 'Building agent-based hybrid intelligent system: A case study', Web Intelligence and Agent Systems-An international journal, vol. 5, no. 3, pp. 255-271.
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Cao, L. & Zhang, C. 2006, 'Domain-driven data mining: A practical methodology', International Journal of Data Warehousing and Mining, vol. 2, no. 4, pp. 49-65.
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Cao, L., Zhang, C. & Liu, J. 2006, 'Ontology-Based Integration Of Business Intelligence', Web Intelligence and Agent Systems: An International Journal, vol. 4, no. 3, pp. 313-325.
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Zhang, C., Feng, Y. & Ying, M. 2006, 'Unambiguous Discrimination Of Mixed Quantum States', Physics Letters A, vol. 353, no. 4, pp. 300-306.
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Zhang, C., Ying, M. & Qiao, B. 2006, 'Universal Programmable Devices For Unambiguous Discrimination', Physical Review A, vol. 74, no. 4, pp. 1-9.
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Cao, L., Zhang, C. & Dai, R. 2005, 'Organization-Oriented Analysis of Open Complex Agent Systems', International Journal of Intelligent Control and Systems, vol. 10, no. 2, pp. 114-122.
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Cao, L., Zhang, C. & Dai, R. 2005, 'The OSOAD Methodology for Open Complex Agent Systems', International Journal of Intelligent Control and Systems, vol. 10, no. 4, pp. 277-285.
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Chen, Q., Zhang, C. & Zhang, S. 2005, 'ENDL: A logical framework for verifying secure transaction protocols', Knowledge And Information Systems, vol. 7, no. 1, pp. 84-109.
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Cheng, X., Ouyang, D., Jiang, Y. & Zhang, C. 2005, 'An improved model-based method to test circuit faults', Theoretical Computer Science, vol. 341, no. 1-3, pp. 150-161.
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Qin, Z., Zhang, C., Xie, X. & Zhang, S. 2005, 'Dynamic test-sensitive decision trees with multiple cost scales', Fuzzy Systems And Knowledge Discovery, Pt 1, Proceedings, vol. 3613, pp. 402-405.
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Wang, J., Wu, X. & Zhang, C. 2005, 'Support vector machines based on K-means clustering for real-time business intelligence systems', Business Intelligence and Data Mininig, vol. 1, no. 1, pp. 54-64.
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Wang, J., Zhang, C., Wu, X., Qi, H. & Wang, J. 2005, 'SVM-OD: SVM Method to Detect Outliers', Studies in Computational Intelligence, vol. 9, pp. 129-141.
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Wu, X., Zhang, C. & Zhang, S. 2005, 'Database classification for multi-database mining', Information Systems, vol. 30, no. 1, pp. 71-88.
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Yan, X., Zhang, C. & Zhang, S. 2005, 'ARMGA: Identifying interesting association rules with genetic algorithms', Applied Artificial Intelligence, vol. 19, no. 7, pp. 677-689.
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Yu, J.X., Ou, Y., Zhang, C. & Zhang, S. 2005, 'Identifying interesting visitors through Web log classification', IEEE Intelligent Systems, vol. 20, no. 3, pp. 55-59.
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Zhang, C., Zhang, Z. & Cao, L. 2005, 'Agents and data mining: Mutual enhancement by integration', Lecture Notes In Computer Science, vol. 3505, pp. 50-61.
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Zhang, C., Qin, Z. & Yan, X. 2005, 'Association-based Segmentation for Chinese-crossed Query Expansion', The IEEE Intelligent Informatics Bulletin, vol. 5, no. 1, pp. 18-25.
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Zhang, S., Wu, X., Zhang, J. & Zhang, C. 2005, 'A decremental algorithm for maintaining frequent itemsets in dynamic databases', Data Warehousing And Knowledge Discovery, Proceedings, vol. 3589, pp. 305-314.
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Zhao, Y., Zhang, C. & Zhang, S. 2005, 'A recent-biased dimension reduction technique for time series data', Advances In Knowledge Discovery And Data Mining, Proceedings, vol. 3518, pp. 751-757.
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Wu, X., Zhang, C. & Zhang, S. 2004, 'Efficient mining of both positive and negative association rules', ACM Transactions On Information Systems, vol. 22, no. 3, pp. 381-405.
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Yan, X., Zhang, C. & Zhang, S. 2004, 'Identifying software component association with genetic algorithm', International Journal Of Software Engineering And Knowledge Engineering, vol. 14, no. 4, pp. 441-447.
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Zhang, C., Liu, M., Nie, W. & Zhang, S. 2004, 'Identifying Global Exceptional Patterns in multi-database mining', IEEE Computational Intelligence Bulletin, vol. 3, no. 1, pp. 19-24.
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Zhang, S., Lu, J. & Zhang, C. 2004, 'A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules', Information Sciences, vol. 164, no. 1-4, pp. 1-16.
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Zhang, S., Zhang, C. & Yu, J.X. 2004, 'An efficient strategy for mining exceptions in multi-databases', Information Sciences, vol. 165, no. 1-2, pp. 1-20.
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Zhang, S., Zhang, C. & Yu, J.X. 2004, 'Mining dependent patterns in probabilistic databases', Cybernetics And Systems, vol. 35, no. 4, pp. 399-424.
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Conference Papers

Li, B., Zhu, X., Chi, L., Zhang, C. 2012, 'Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams', 2012 IEEE 12th International Conference on Data Mining, Brussels, Belgium, December 2012 in 12th IEEE International Conference on Data Mining, ICDM 2012, ed Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu, IEEE Computer Society, CA, USA, pp. 399-408.
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Liang, G. & Zhang, C. 2012, 'An Ef´fücient and Simple Under-sampling Technique for Imbalanced Time Series Classifiücation', Maui, Hawaii, USA, October 2012 in Proceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM'12, ed Xuewen Chen, Guy Lebanon, Haixun Wang, Mohammed J. Zaki, & Wolfgang Gatterbauer, ACM, Maui, HI, USA., pp. 2339-2342.

Long, G., Chen, L., Zhu, X., Zhang, C. 2012, 'TCSST: transfer classification of short & sparse text using external data', Maui, HI, USA, October 2012 in Proceedings of the 21st ACM international conference on Information and knowledge management, ed Xue-wen Chen, Guy Lebanon, Haixun Wang, Mohammed J. Zaki, ACM, New York, NY, USA, pp. 764-772.

Su, G., Ying, M. & Zhang, C. 2012, 'Semantic Analysis of Component-aspect Dynamism for Connector-based Architecture Styles', Helsinki (Finland), August 2012 in 2012 Joint Working Conference on Software Architecture & 6th European Conference on Software Architecture, ed Tomi MannistoÂ, M. Ali Babar, Carlos E. Cuesta, and Juha Savolainen, IEEE Computer Society, US, pp. 151-160.

Chen, L. & Zhang, C. 2011, 'Semi-supervised Variable Weighting for Clustering', SDM, Mesa, Arizona, USA, April 2011 in Proceedings of the Eleventh SIAM International Conference on Data Mining, ed Chris Clifton, Takashi Washio, SIAM / Omnipress, CA, USA, pp. 863-871.
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Dong, X., Zheng, Z., Cao, L., Zhao, Y., Zhang, C., Li, J., Wei, W. & Ou, Y. 2011, 'e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning', ACM international conference on Information and knowledge management, Glasgow, Scotland, UK, October 2011 in Proceedings of the 20th ACM International Conference on Information and Knowledge Management, ed Bettina Berendt, Arjen de Vries, Wenfei Fan, Craig Macdonald, Iadh Ounis, and Ian Ruthven, ACM, New York, USA, pp. 825-830.
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Fu, Y., Li, B., Zhu, X. & Zhang, C. 2011, 'Do they belong to the same class: active learning by querying pairwise label homogeneity', ACM international conference on Information and knowledge managemen, Glasgow, Scotland, October 2011 in CIKM '11 Proceedings of the 20th ACM international conference on Information and knowledge management, ed NA, ACM, USA, pp. 2161-2164.
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Li, B., Zhu, X., Li, R., Zhang, C., Xue, X. & Wu, X. 2011, 'Cross-Domain Collaborative Filtering over Time.', International Joint Conference on Artificial Intelligence, Barcelona, Catalonia, Spain, August 2011 in Proceedings of the 22nd International Joint Conference on Artificial Intelligence, ed Toby Walsh, AAAI Press, California, US, pp. 2293-2298.
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Li, J., Bian, W., Tao, D. & Zhang, C. 2011, 'Learning Colours from Textures by Sparse Manifold Embedding', AI 2011: Advances in Artificial Intelligence.24th Australasian Joint Conference, Perth, Australia, December 2011 in Lecture Notes in Artificial Intelligence.AI 2011: Advances in Artificial Intelligence.24th Australasian Joint Conference, ed Dianhui Wang, Mark Reynolds, Springer-Verlag Berlin / Heidelberg, Berlin/Heidelberg, pp. 600-608.
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Liang, G. & Zhang, C. 2011, 'An Empirical Evaluation of Bagging with Different Algorithms on Imbalanced Data', International Conference on Advanced Data Mining and Applications, Beijing, China, December 2011 in Advanced Data Mining and Applications. Lecture Notes in Artificial Intelligence 7120, ed Jie Tang, Irwin King, Ling Chen, and Jianyong Wang, Springer-Verlag Berlin / Heidelberg, Berlin/Heidelberg, pp. 339-352.
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Liang, G., Zhu, X. & Zhang, C. 2011, 'An Empirical Study of Bagging Predictors for Different Learning Algorithms', National Conference of the American Association for Artificial Intelligence, San Francisco, California, US, August 2011 in Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, ed Wolfram Burgard, Dan Roth, AAAI Press, California, US, pp. 1802-1803.
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Liang, G., Zhu, X. & Zhang, C. 2011, 'An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution', Australasian Joint Conference on Artificial Intelligence, Perth, Australia, December 2011 in AI 2011: Advances in Artificial Intelligence, ed Wang, Dianhui; Reynolds, Mark, Springer-Verlag Berlin / Heidelberg, Berlin/Heidelberg, pp. 213-222.
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Liang, G. & Zhang, C. 2011, 'Empirical Study of Bagging Predictors on Medical Data', Australasian Data Mining Conference, Ballarat, Australia, December 2011 in Volume 121 - Ninth Australasian Data Mining Conference, ed Peter Vamplew, Andrew Stranieri, Kok+ó Leong Ong, Peter Christen and Paul J. Kennedy., ACS, Ballarat, Australia, pp. 31-40.
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Luo, C., Zhao, Y., Luo, D., Zhang, C. & Cao, W. 2011, 'Agent-Based Subspace Clustering', Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD, Shenzhen, China, May 2011 in Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, ed Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava, Springer-Verlag, Berlin, pp. 370-381.
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Xiao, Y., Liu, B., Yin, J., Cao, L., Zhang, C. & Hao, Z. 2011, 'Similarity-Based Approach for Positive and Unlabeled Learning', International Joint Conference on Artificial Intelligence, Barcelona, Catalonia, Spain, July 2011 in Proceedings of the 22nd International Joint Conference on Artificial Intelligence, ed Toby Walsh, AAAI Press, California, US, pp. 1577-1582.
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Qin, Z., Zhang, C., Wang, T. & Zhang, S. 2010, 'Cost Sensitive Classification in Data Mining', International Conference on Advanced Data Mining and Applications, Chongqing, China, November 2010 in Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, ed Longbing, Cao; Yong, Feng; Jiang,Zhong;, Springer-Verlag, Berlin, pp. 1-11.
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Yang, T., Cao, L. & Zhang, C. 2010, 'A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K >= 1', Pacific-Asia Conference on Knowledge Discovery and Data Mining, Hyderabad, India, June 2010 in Advances in Knowledge Discovery and Data Mining - Lecture Notes in Artificial Intelligence, ed R. Goebel, J. Siekmann, W.Wahlster, Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi, Springer Berlin / Heidelberg, Germany, pp. 89-100.
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Yang, T., Kecman, V., Cao, L. & Zhang, C. 2010, 'Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis', Pacific-Asia Conference on Knowledge Discovery and Data Mining, Hyderabad, India, June 2010 in Advances in Knowledge Discovery and Data Mining - Lecture Notes in Artificial Intelligence, ed R. Goebel, J. Siekmann, W.Wahlster, Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi, Springer Berlin / Heidelberg, Germany, pp. 55-62.
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Yang, T., Kecman, V., Cao, L. & Zhang, C. 2010, 'Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation', International Joint Conference on Neural Networks, Barcelona, Spain, July 2010 in The 2010 International Joint Conference on Neural Networks (IJCNN), ed Alberto PRIETO;, IEEE, USA, pp. 1-5.
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Cao, L., Luo, D. & Zhang, C. 2009, 'Ubiquitous Intelligence in Agent Mining', International Workshop on Agents and Data Mining Interaction, Budapest, Hungary, May 2009 in ADMI 2009, ed Cao, L.; Gordodetsky, V.; Liu, J.; Weiss, G.; & Yu, P., Springer, Berlin / Heidelberg, pp. 23-35.
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Wang, W., Xiao, C., Lin, X. & Zhang, C. 2009, 'Efficient approximate entity extraction with edit distance constraints', ACM Special Interest Group on Management of Data Conference, Rhode Island, USA, June 2009 in Proceedings of the 35th SIGMOD international conference on Management of data, ed Ugur, Aetintemel; Stanley, B. Zdonik; Donald, Kossmann; Nesime, Tatbul;, ACM, Rhode Island, USA, pp. 759-770.
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Xiao, Y., Liu, B., Cao, L., Wu, X., Zhang, C., Hao, Z., Yang, F. & Cao, J. 2009, 'Multi-sphere Support Vector Data for Outliers Detection on Multi-distribution Data', IEEE International Conference on Data Mining, Miami, Florida, December 2009 in Data Mining Workshops, 2009. ICDMW '09. IEEE International Conference on, ed Yucel Saygin, Jeffrey Xu Yu, Hillol Kargupta, Wei Wang, Sanjay Ranka, Philip S. Yu, Xindong Wu, IEEE Computer Society Press, USA, pp. 82-87.
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Zhao, Y., Zhang, H., Wu, S., Pei, J., Cao, L., Zhang, C. & Bohlscheid, H. 2009, 'Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns', European Conference on Machine Learning, Bled, Slovenia, September 2009 in Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, ed Wray L. Buntine; Marko Grobelnik; Dunja Mladenic; John Shawe-Taylor, Springer, Berlin / Heidelberg, pp. 648-663.
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Zhao, Y., Zhang, H., Cao, L., Zhang, C. & Bohlscheid, H. 2009, 'Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data', Pacific-Asia Conference on Knowledge Discovery and Data Mining, Bangkok, Thailand, April 2009 in Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, ed Thanaruk Theeramunkong; Boonserm Kijsirikul; Nick Cercone;Tu Bao Ho, Springer, Berlin / Heidelberg, pp. 656-663.
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Zhu, X., Wu, X. & Zhang, C. 2009, 'Vague One-Class Learning for Data Streams', IEEE International Conference on Data Mining, Miami, Florida, December 2009 in Proceedings of the 9th IEEE International Conference on Data Mining (ICDM-09), ed Wei, Wang; Hillol, Kargupta; Sanjay, Ranka; Philip S. Yu; Xindong, Wu;, IEEE Computer Society, Washington, DC, USA, pp. 657-666.
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Liu, B., Cao, L., Yu, P.S. & Zhang, C. 2008, 'Multi-Space-Mapped SVMs for Multi-Class Classification', IEEE International Conference on Data Mining, Pisa, Italy, December 2008 in 2008 Eighth IEEE International Conference on Data Mining, ed Fosca Giannotti; Dimitrios Gunopulos; Franco Turini; Carlo Zaniolo; Naren Ramakrishnan; Xindong Wu, IEEE, Los Alamitos, USA, pp. 911-916.
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Luo, C., Zhao, Y., Cao, L., Ou, Y. & Zhang, C. 2008, 'Exception Mining on Multiple Time Series in Stock Market', IEEE/WIC/ACM international Conference on Web Intelligence and Intelligent Agent Technology, Sydney, Australia, December 2008 in 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, ed Yuefeng Li, Gabriella Pasi,Chengqi Zhang, Nick Cercone, Longbing Cao, Springer, Berlin, pp. 690-693.
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Moemeng, C., Cao, L. & Zhang, C. 2008, 'F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments', IEEE/WIC/ACM international Conference on Web Intelligence and Intelligent Agent Technology, University of Technology, Sydney, Australia, December 2008 in 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, ed Yuefeng Li, Gabriella Pasi,Chengqi Zhang, Nick Cercone, Longbing Cao, IEEE Computer Society, USA, pp. 612-615.
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Ou, Y., Cao, L., Luo, C. & Zhang, C. 2008, 'Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation', Pacific Rim International Conference on Artificial Intelligence, Hanoi,Vietnam, December 2008 in Lecture Notes in Computer Science Vol 5351: PRICAI 2008: Trends in Artificial Intelligence, ed Tu-Bao Ho, Zhi-Hua Zhou, Springer, Berlin, pp. 849-858.
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Zhang, H., Zhao, Y., Cao, L. & Zhang, C. 2008, 'Combined Association Rule Mining', Pacific-Asia Conference on Knowledge Discovery and Data Mining, Osaka, Japan, May 2008 in Lecture Notes in Artificial Intelligence Vol 5012: Advances in Knowledge Discovery and Data Mining, ed T. Washio, E. Suzuki, K.M.Ting, A. Inokuchi, Springer, Berlin, Germany, pp. 1069-1074.
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Zhao, Y., Zhang, H., Cao, L., Zhang, C. & Bohlscheid, H. 2008, 'Combined Pattern Mining: from Learned Rules to Actionable Knowledge', Australasian Joint Conference on Artificial Intelligence, Auckland, Newzealand, December 2008 in AI 2008: Advances in Artificial Intelligence: Lecture Notes in Artificial Intelligence 5360, ed Wobcke, W; Zhang M., Springer, Berlin, Germany, pp. 393-403.
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Zhao, Y., Zhang, H., Cao, L., Zhang, C. & Bohlscheid, H. 2008, 'Efficient Mining of Event-Oriented Negative Sequential Rules', IEEE/WIC/ACM international Conference on Web Intelligence and Intelligent Agent Technology, University of Technology, Sydney, Australia, December 2008 in 2008 IEEE/WIC/ACM International Conference on Web Intelligence, ed Lakhmi Jain, Maria Gini, Boi B. Faltings, Takao Terano, Chengqi Zhang, Nick Cercone, Longbing Cao, IEEE Computer Society, Los Alamitos, USA, pp. 336-342.
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Zhu, X., Zhang, P., Wu, X., He, D., Zhang, C. & Shi, Y. 2008, 'Cleansing Noisy Data Streams', IEEE International Conference on Data Mining, Pisa, Italy, December 2008 in 2008 Eighth IEEE International Conference on Data Mining, ed Fosca Giannotti; Dimitrios Gunopulos; Franco Turini; Carlo Zaniolo; Naren Ramakrishnan; Xindong Wu, IEEE Computer Society, Los Alamitos, USA, pp. 1139-1144.
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Cao, L., Luo, C. & Zhang, C. 2007, 'Agent-Mining Interaction: An Emerging Area', International Workshop Autonomous Intelligent Systems: Agents and Data Mining, St. Petersburg, Russia, June 2007 in Autonomous Intelligent Systems: Multi-Agents and Data Mining, ed Vladimir, Gorodetsky; Chengqi, Zhang; Victor, A. Skormin; Longbing, Cao., Springer, Berlin, Germany, pp. 60-73.
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Cao, L., Luo, C. & Zhang, C. 2007, 'Developing Actionable Trading Strategies for Trading Agents', IEEE/WIC/ACM International Conference on Intelligent Agent Technology, San Jose, November 2007 in Proceedings of the IEEE/WIC/ACM International Conference on Intellligent Agent Technology, ed Tsau, Young (T.Y.) Lin; Jeffrey, M. Bradshaw; Matthias, Klusch; Chengqi, Zhang; Andrei, Broder; Howard, Ho;, IEEE Computer Soc, Los Alamitos, pp. 72-75.
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Cao, L. & Zhang, C. 2007, 'F-Trade: An Agent-Mining Symbiont for Financial Services', International Conference on Autonomous Agents and Multiagent Systems, Honolulu, Hawai'i, May 2007 in Agent & Data Mining Interaction, ed Michael, Huhns; Onn, Shehory., IFAAMAS, USA, pp. 1363-1364.
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Ou, Y., Cao, L., Yu, T. & Zhang, C. 2007, 'Detecting Turning Points of Trading Price and Return Volatility for Market', International Workshop on Agents and Data Mining Interaction, San Jose, November 2007 in Workshop on Agents & Data Mining Interaction (ADMI 2007), ed Pericles, A. Mitkas; Longbing, Cao; Vladimir, Gorodetsky; Justin, Zhan., IEEE Computer Soc, Los Alamitos, pp. 491-494.
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Xu, Z., Zhang, C., Zhang, S., Song, W. & Yang, B. 2007, 'Efficient Attribute Reduction Based on Discernibility Matrix', Rough Sets and Knowledge Technology, Canada, May 2007 in Rough Sets and Knowledge Technology, ed Jingtao, Yao; Pawan, Lingras; Wei-Zhi, Wu; Marcin, S. Szczuka; Nick, Cercone; Dominik, Slezak., Springer, Berlin, Germany, pp. 13-21.
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Zhang, C., Zhu, X., Zhang, J., Qin, Y. & Zhang, S. 2007, 'GBKII: An Imputation Method for Missing Values', Pacific-Asia Conference on Knowledge Discovery and Data Mining, Nanjing, China, May 2007 in Advances in Knowledge Discovery and Data Mining, ed Zhi-Hua, Zhou; Hang, Li; Qiang, Yang., Springer, Berlin, Germany, pp. 1080-1087.
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Zhang, J., Zhang, S., Zhu, X., Wu, X. & Zhang, C. 2007, 'Measuring the Uncertainty of Differences for Contrasting Groups', National Conference of the American Association for Artificial Intelligence, Vancouver, Canada, July 2007 in Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, ed Robert C. Holte; Adele, Howe, AAAI Press, Menlo Park, USA, pp. 1920-1921.
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Zhang, S., Zhu, X., Zhang, J. & Zhang, C. 2007, 'Cost-Time Sensitive Decision Tree with Missing Values', International Conference on Knowledge Science, Engineering and Management, Melboure, November 2007 in Knowledge Science, Engineering and Management, ed Zili, Zhang; Jerg, H. Siekmann, Springer, Berlin, Germany, pp. 447-459.
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Zhao, Y., Zhang, H., Figueiredo, F., Cao, L. & Zhang, C. 2007, 'Mining for combined association rules on multiple datasets', International Workshop on Domain Driven Data Mining, San Jose, USA, August 2007 in Proceedings of the 2007 international workshop on Domain driven data mining, ed Yu P; Zhang c; Williams G, Cao L, ACM, USA, pp. 18-23.
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Zhu, X., Zhang, S., Zhang, J. & Zhang, C. 2007, 'Cost-Sensitive Imputing Missing Values with Ordering', National Conference of the American Association for Artificial Intelligence, Vancouver, Canada, July 2007 in Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, ed Robert C. Holte; Adele, Howe, AAAI Press, Menlo Park, USA, pp. 1922-1923.
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Cao, L. & Zhang, C. 2006, 'Domain-driven actionable knowledge discovery in the real world', Pacific-Asia Conference on Knowledge Discovery and Data Mining, Singapore, April 2006 in Advances In Knowledge Discovery And Data Mining, Proceedings, Lecture Notes in Artificial Intelligence, ed Ng, W; Kitsuregawa, M; Li, J, Springer-Verlag Berlin, Berlin, Germany, pp. 821-830.
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Cao, L., Luo, D. & Zhang, C. 2006, 'Fuzzy genetic algorithms for pairs mining', Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 2006 in PRICAI 2006: Trends In Artificial Intelligence, Proceedings, Lecture Notes in Artificial Intelligence, ed Yang, Q; Webb, G, Springer-Verlag Berlin, Berlin, Germany, pp. 711-720.
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Chen, Q., Chen, P.Y., Zhang, S. & Zhang, C. 2006, 'Detecting collusion attacks in security protocols', Asia Pacific Web Conference, Harbin, China, January 2006 in Frontiers Of WWW Research And Development - Apweb 2006, Proceedings - Lecture Notes in Computer Science, ed NA, Springer-Verlag Berlin, Berlin, Germany, pp. 297-306.
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Chen, Q., Chen, P.Y., Zhang, C. & Li, L. 2006, 'Mining frequent itemsets for protein kinase regulation', Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 2006 in PRICAI 2006: Trends in Artificial Intelligence, ed Yang, Q; Webb, G, Springer, Berlin, Germany, pp. 222-230.
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Ni, J. & Zhang, C. 2006, 'A dynamic storage method for stock transaction data', IASTED International Conference on Computational Intelligence, San Francisco, USA, November 2006 in Proceedings of the 2nd International Conference on Computational Intelligence, ed Kovalerchuk, B, ACTA Press, Anaheim, CA, USA, pp. 338-342.
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Ni, J. & Zhang, C. 2006, 'A human-friendly MAS for mining stock data', IEEE/WIC/ACM international Conference on Web Intelligence and Intelligent Agent Technology, Hong Kong, China, December 2006 in Proceedings of 2006 IEEE/ACM/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006 Workshops), ed Butz, C; Nguyen, T; Takama, Y; Cheung, W; Cheung, Y, IEEE Computer Society press, Hong Kong, pp. 19-22.
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Ni, J., Cao, L. & Zhang, C. 2006, 'Agent services-oriented architectural design of a framework for artificial stock markets', International Conference on Active Media Technology, Brisbane, Australia, June 2006 in Advances in Intelligent IT: Active Media Technology 2006, ed Li, Yuefeng; Looi, M; Zhong, N, IOS Press, Amsterdam, Netherlands, pp. 396-399.
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Ni, J. & Zhang, C. 2006, 'Mining better technical trading strategies with genetic algorithms', International Workshop on Integrating AI and Data Mining, Hobart, Australia, December 2006 in Proceedings of the International Workshop on Integrating AI and Data Mining, ed Ong, K; Smith-Miles, K; Lee, V; Ng, W, IEEE Computer Society, New York, USA, pp. 26-33.
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Qin, Z., Zhang, S. & Zhang, C. 2006, 'Missing or absent? A question in Cost-sensitive Decision Tree', IEEE ACtive Media Technology, Brisbane, Australia, June 2006 in Advances in intelligent IT, ed Li, Y; Looi, M; Zhong, N, IOS Press, Amsterdam, Netherlands, pp. 118-126.
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Wang, J. & Zhang, C. 2006, 'Dynamic Focus Strategies for Electronic Trade Execution in Limit Order', IEEE Conference on Electronic Commerce Technology, San Francisco, California, USA, June 2006 in Proceedings Joint Conference 8th IEEE International Conference on E-Commerce and Technology (CEC 2006); 3rd IEEE International Conference on Enterprise Computing, E-Commerce and E-Services (EEE 2006), ed IEEE Committee, IEEE, USA, pp. 1-8.
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Zhang, C., Qin, Y., Zhu, X., Zhang, J. & Zhang, S. 2006, 'Clustering-based missing value imputation for data pre-processing', IEEE International Conference on Industrial Informatics, Singapore, August 2006 in Industrial Informatics, 2006 IEEE International Conference, ed Lim, K; Zhang, J, IEEE, New York, USA, pp. 1081-1086.
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Zhang, C. & Cao, L. 2006, 'Domain-driven mining: Methodologies and applications', International Conference on Active Media, Brisbane, Australia, September 2006 in Advances in Intelligent IT: Active Media Technology 2006, ed Li, Y; Looi, M; Zhong, N, IOS Press, Amsterdam, Netherlands, pp. 13-16.
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Zhang, C., Chen, F., Wu, X. & Zhang, S. 2006, 'Identifying bridging rules between conceptual clusters', ACM International Conference on Knowledge Discovery and Data Mining, Philadelphia, USA, August 2006 in International Conference on Knowledge Discovery and Data Mining, ed Ungar, L; Craven, M; Gunopulos, D; Eliassi-Rad, T, ACM Press, New York, USA, pp. 815-820.
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Zhang, S., Yu, J.X., Lu, J. & Zhang, C. 2006, 'Is frequency enough for decision makers to make decisions?', Pacific-Asia Conference on Knowledge Discovery and Data Mining, Singapore, April 2006 in Advances in Knowledge Discovery and Data Mining, ed Ng, WK; Kitsuregawa, M; Li, J; Chang, K, Springer, Berlin, Germany, pp. 499-503.
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Zhang, S., Qin, Y., Zhu, X., Zhang, J. & Zhang, C. 2006, 'Kernel-based multi-imputation for missing data', International Conference on Active Media, Brisbane, Australia, June 2006 in Advances in intelligent IT, ed Li, Y; Looi, M; Zhoong, N, IOS Press, Amsterdam, Netherlands, pp. 106-111.
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Zhang, S., Qin, Y., Zhu, X., Zhang, J. & Zhang, C. 2006, 'Optimized parameters for missing data imputation', Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 2006 in PRICAI 2006: 9th Pacific rim international conference on artificial intelligence, ed Yang, Q; Webb, G, Springer, Berlin, Germany, pp. 1010-1016.
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Zhao, Y., Zhang, C., Zhang, S. & Zhao, L. 2006, 'Adapting K-Means Algorithm for Discovering Clusters in Subspaces', Asia Pacific Web Conference, Habin, China, January 2006 in Frontiers of WWW Research and Development - APWb 2006, ed Zhou, X; Li, J; Shen, H; Kitsuregaura, M; Zhang, Y, Springer, Berlin, Germany, pp. 53-62.
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Zhao, Y., Cao, L., Morrow, Y.K., Ou, Y., Ni, J. & Zhang, C. 2006, 'Discovering debtor patterns of Centrelink customers', Australian Data Mining Conference, Sydney, Australia, November 2006 in Data mining 2006; Proceedings of AusDM 2006, ed Christen, P; Kennedy, P; Li, J; Simoff, S; Williams, G, ACS Inc, Sydney, Australia, pp. 135-144.
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Zhao, Y., Zhang, C. & Zhang, S. 2006, 'Efficient frequent itemsets mining by sampling', International Conference on Active Media Technology, Brisbane, Australia, September 2006 in Advances in Intelligent IT: Active Media Technology 2006, ed Li, Y; Looi, M; Zhong, N, IOS Press, Amsterdam, Netherlands, pp. 112-117.
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Zhao, Y., Zhang, C. & Zhang, S. 2006, 'Enhancing DWT for recent-biased dimension reduction of time', Australasian Joint Conference on Artificial Intelligence, Hobart, Australia, December 2006 in AI 2006: Advances in Artificial Intelligence, ed Sattar, A; Kang, B, Springer, Berlin, Germany, pp. 1048-1053.
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Cao, L., Zhang, C. & Ni, J. 2005, 'Agent services-oriented architectural design of open complex agent systems', IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Compiegne, France, September 2005 in Proceedings of 2005 IEEE/WIC/ACM International Conference On Intelligent Agent Technology, ed Skowron, A; Barthes, JP; Jain, L; Sun, R; MorizetMahoundeaux, P; Liu, J; Zhong, N, IEEE, California, USA, pp. 120-123.
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Cao, L., Schurmann, R. & Zhang, C. 2005, 'Domain-Driven In-Depth pattern Discovery: A Practical Methodology', Australian Data Mining Conference, Sydney, Australia, December 2005 in Proceedings 4th Australasion Data Mining Conference AusDM05, ed Simoff, S; Williams, G; Galloway, J; Kolyshkina, I, The University of Technology, Sydney, Sydney, Australia, pp. 101-114.
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Cao, L., Zhang, C., Luo, D., Chen, W. & Zamari, N. 2005, 'Integrative Early Requirements Analysis for Agent-Based Software', International Conference on Hybrid Intelligent Systems, Kitakyushu, Japan, December 2004 in Fourth International Conference on Hybrid Intelligent Systems HIS-2004, ed Ishikawa, M; Hashimoto, S; Paprzycki,M; Barakova,E; Yoshida, K; Koppen M; Corne, D; Abraham, A., IEEE Computer Society Press, USA, pp. 1-6.
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Chen, Q., Yi Ping, C., Zhang, C. & Zhang, S. 2005, 'A Framework for Merging Inconsistent Belief in Security Protocol Analysis', International Workshop on Data engineering Issues in E-Commerce, Tokyo, Japan, April 2005 in Proceedings of the 2005 International Workshop on Data engineering Issues in E-Commerce, ed Shim, J, IEEE, New York, USA, pp. 119-124.
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Lin, L., Cao, L. & Zhang, C. 2005, 'Genetic algorithms for robust optimization in financial applications', IASTED International Conference on Computational Intelligence, Calgary, Canada, July 2005 in Proceedings Of The Iasted International Conference On Computational Intelligence, ed Hamza, MH, ACTA Press, Calgary, Canada, pp. 387-391.
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Lin, L., Cao, L. & Zhang, C. 2005, 'The Fish-Eye Visualization of foreign Currency Exchange Data Streams', Asia-Pacific Symposium on Information Visualisation, Sydney, Australia, January 2005 in Asia-Pacific Symposium on Information Visualisation 2005, ed Hong, S, ACS, Sydney, Australia, pp. 91-96.
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Lin, L., Cao, L. & Zhang, C. 2005, 'The Visualization of Large Database in Stock Markets', IASTED International Multi Conference, Innsbruck, Austria, February 2005 in Proceedings of the IASTED International Conference on Databases and Applications, ed Hamza, M, ACTA Press, Innsbruck, Austria, pp. 163-166.
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Ni, A., Zhu, X. & Zhang, C. 2005, 'Any-Cost Discovery: Learning Optimal classification Rules', Australasian Joint Conference on Artificial Intelligence, Sydney, Australia, December 2005 in AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence Proceedings, ed Zhang, S; Jarvis, R, Springer, Berlin, Germany, pp. 123-132.
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Ni, J. & Zhang, C. 2005, 'An efficient implementation of the backtesting of trading strategies', IEEE International Symposium on Parallel and Distributed Processing with Applications, Nanjing, China, November 2005 in Parallel and Distributed Processing and Applications, ed Pan, Y; Chen, D; Guo, M; Cao, JN; Dongarra, J, Springer, Berlin, Germany, pp. 126-131.
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Cao, L., Wang, J., Lin, L. & Zhang, C. 2004, 'Agent Services - Based infrastructure for online assessment of training strategies', IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Beijing, China, September 2004 in Proceedings IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), ed Zhong,W; Bradshaw,J; Dal,S; Talia,D; Liu,J; Cercone,N., IEEE, USA, pp. 345-348.
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Cao, L., Ni, J., Wang, J. & Zhang, C. 2004, 'Agent Services-Driven-plug-and-play in F-Trade', Australasian Joint Conference on Artificial Intelligence, Cairns, Australia, December 2004 in AI 2004: Advances in Artificial Intelligence, 17th Australian Joint Conference on Artificial Intelligence Cairns, Australia, December 2004 Proceedings, ed Webb, G, Yu, X., Springer, Berlin, Germany, pp. 917-922.
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Cao, L., Luo, C., Luo, D. & Zhang, C. 2004, 'Hybrid Strategy of Analysis and Control of Telecommunications Frauds', International Conference on Information Technology and Applications, Harbin, China, January 2004 in Proceedings of 2nd International Conference on Information Technology and Applications, ed Shi, F, IEEE, Harbin, China, pp. 11-15.
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Cao, L., Luo, C., Luo, D. & Zhang, C. 2004, 'Integration of Business Intelligence Based on Three-Level Ontology Services', IEEE/WIC/ACM international Conference on Web Intelligence and Intelligent Agent Technology, Beijing, China, September 2004 in IEEE/WIC/ACM International Conference on Web Intelligence (WI2004), ed Zhang, W; Tirri, H; Yao,Y; Zhou,L; Liu,J; Gorcone,N., IEEE, Beijing, China, pp. 17-23.
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Chen, Q., Zhang, C. & Zhang, S. 2004, 'A verification model for electronic transaction protocols', Asia Pacific Web Conference, Hangzhou,China, April 2004 in Advanced Web Technologies and Applications - APWEB'04, ed Yu,J; Lin,X; Lu,H, Zhang,Y, Springer-Verlag Berlin, Berlin, pp. 824-833.
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Li, C., Zhang, Z. & Zhang, C. 2004, 'A Platform for Dynamic Organisation of Agents in Agent-Based Systems', IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Beijing, China, September 2004 in Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Technology, ed Zhong,N; Bradshaw,J; Perl,S; Talia,P; Liu J; Cercone,N., IEEE, USA, pp. 454-457.
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Li, C., Cheng, D. & Zhang, C. 2004, 'A Platform to Integrate well-log Information Application on heterogeneous Environments', International Conference on Information Technology and Applications, Harbin, China, January 2004 in Proceedings of 2nd International Conference on Information Technology and Applications, ed Shi,F., IEEE, Harbin, China, pp. 265-270.
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Li, C., Song, Q. & Zhang, C. 2004, 'MA-IDS Architecture for Distributed Intrusion Detection using Mobile Agent', International Conference on Information Technology and Applications, Harbin, China, January 2004 in Proceedings of 2nd International Conference on Information Technology and Applications, ed Shi, F., IEEE, Harbin, China, pp. 451-455.
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Lin, L., Jiang, Y., Fan, Z. & Zhang, C. 2004, 'Dynamic Value-Based Diagnosis System for Assembler Program', International Workshop on Principles of Diagnosis, Carcassonne, France, June 2004 in 15th International Workshop on Principle of Diagnosis DX04, ed Trave-Massueys,L., LAAS-CNRS, France, pp. 209-213.
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Lin, L. & Zhang, C. 2004, 'The application of Fuzzy Sets in finding the Best Stock-Rule Pairs', International Conference on Recent Advances in Soft Computing, Nottingham, UK, December 2004 in Proceedings if the 5th International Conference on RASC, ed Lotfi, A., Nottingham Trent University, Nottingham, UK, pp. 472-476.
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Lin, L., Cao, L., Wang, J. & Zhang, C. 2004, 'The Applications of genetic algorithms in stock market data mining optimisation', Conference on Data Mining, Text Mining and Their Business Application, Malaga, Spain, September 2004 in Data Mining V, Data Mining, Text Mining and Their Business Application, ed Zanasi, A; Ebecken, N; Brebbia, C., Wessex Institute of Technology Press, South Hampton, UK, pp. 273-280.
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Qin, Z., Zhang, S. & Zhang, C. 2004, 'Cost-Sensitive Decision Trees with Multiple Cost Scales', Australasian Joint Conference on Artificial Intelligence, Cairns, Australia, December 2004 in AI 2004: Advances in Artificial Intelligence, 17th Australian Joint Conference on Artificial Intelligence Cairns, Australia, December 2004 Proceedings, ed Webb, I; Xinhuo, Y., Springer, Berlin, Germany, pp. 380-390.
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Wang, J. & Zhang, C. 2004, 'KBSVM: KMeans-based SVM for business intelligence', Americas Conference on Information Systems, New York, USA, August 2004 in Proceedings of the 10th AMCIS, ed Nicholas, C; Romano,Jr., Association for Information Systems, Atlanta, USA, pp. 1889-1893.
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Wang, J. & Zhang, C. 2004, 'Support Vector Machines based on set covering', International Conference on Information Technology and Applications, Harbin, China, January 2004 in Proceedings of 2nd International Conference on Information Technology and Applications, ed Shi,F., IEEE, Harbin, China, pp. 181-184.
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Zhang, G., Bai, C., Lu, J. & Zhang, C. 2004, 'Bayesian Network based Cost Benefit Factor Inference in Eservices', International Conference on Information Technology and Applications, Harbin, China, January 2004 in Proceedings of 2nd International Conference on Information Technology and Applications, ed Shi,G., Macquarie Scientific Publishing, Harbin, China, pp. 464-469.
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Zhao, Y., Zhang, C. & Shen, Y. 2004, 'Clustering High-Dimensional Data with Low-Order Neighbours', IEEE/WIC/ACM international Conference on Web Intelligence and Intelligent Agent Technology, Beijing, China, September 2004 in Proceedings IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), ed Zhong,N; Tirri,H; Yao,Y; Zhou,L; Liu,J; Cercone,N., IEEE, Beijing, China, pp. 103-109.
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Zhao, Y., Zhang, C. & Zhang, S. 2004, 'Discovering interesting association rules by clustering', Australasian Joint Conference on Artificial Intelligence, Cairns,Australia, December 2004 in 17th Australian Joint Conference on Artificial Intelligence Proceedings, ed Webb,G; Yu,X., Springer, Berlin, Germany, pp. 1055-1061.
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