The dates of the Colloquium will be 7 – 11 July, 2009. It will be held at the City Campus of the University of Technology, Sydney. A tentative program follows:

Session I: Business Solutions (Tues 7 July)
08:30am to 10:30am : Latest business intelligence solution (SAS)
11:00am to 12:30pm : Latest data analysis solution and application (MathWorks)
Lunch
01:30pm to 03:30pm : Latest data mining solution and application (SPSS)
04:00pm to 06:00pm : Latest business intelligence solution and application (IBM/Cognos)

Session II: Fundamentals (Wed 8 July)
08:30am to 10:30am : Introduction to data sciences and engineering (Prof Xue Li)
11am to 12:30pm : Introduction to business intelligence (Prof Chengqi Zhang)
Lunch
01:30pm to 03:30pm : Introduction to data mining and knowledge discovery (Prof Philip S Yu)
04:00pm to 06:00pm : Introduction to data mining and knowledge discovery (Prof Philip S Yu)

Session III: Advancements (Thurs 9 July)
08:30am to 10:30am : Advanced data mining and knowledge discovery (Prof Philip S Yu)
11am to 12:30pm : Advanced data mining and knowledge discovery (Prof Philip S Yu)
Lunch
01:30pm to 03:30pm : Advanced business intelligence (Prof Michalewicz Zbigniew)
04:00pm to 06:00pm : Advanced business intelligence (Prof Michalewicz Zbigniew)

Session IV: Enterprise Applications (Fri 10 July)
08:30am to 10:30am : Data mining in insurance and healthcare (Dr. Paul Beinat)
11:00am to 12:30pm : Data mining in banking (Dr Eugene Dubossarsky)
Lunch
01:30pm to 03:30pm : Data mining and business intelligence project implementation and management (Dr. Graham Williams)
04:00pm to 05:30pm : Data mining and business intelligence project implementation and management (Dr. Graham Williams)

Session V: Workshop ** (Sat 11 July)
09:00am to 10:00am : Invited talk on data sciences (Professor Charles Ling)
Break
10.30am to 12.30pm : Data sciences & knowledge discovery
Lunch
01:30pm to 02:30pm : Invited talk on knowledge discovery (A/Prof Jiuyong Li)
Break
3:00pm to 5:00pm : Knowledge discovery and Business Intelligence
 

**: Selected papers from the workshop will be published by a special issue with International Journal of Business Intelligence and Data Mining.

Speakers introduction:

• Chair: Professor Philip S Yu, University of Illinois at Chicago
• Prof Michalewicz Zbigniew, Fellow, Australian Computer Society Business Ambassador for the State of South Australia
• Prof Chengqi Zhang, Chair of ACS National AI Committee
• Prof Xue Li, ARC Research Network on EII
• Dr. Graham Williams, Director ATO Data Mining
• Dr. Inna Kolyshkina, former President of IAPA
• Dr. Paul Beinat, Director of NeuronWorks
• Prof Michalewicz Zbigniew, School of Computer Science, University of Adelaide
• Prof Charles Ling, The University of Western Ontario

As shown in the Tentative Program, the Colloquium will consist of five sessions: Fundamentals, Advancements, Business Solutions, Enterprise Applications and Workshop. These sessions will be lectured by well-known researchers, practitioners and commercial solution providers. The Chair, Prof Philip S Yu, from the University of Illinois at Chicago, will also conduct some of the lectures. Lecturers also include active academic researchers and industry practitioners.

Based on your research interests and our research collaboration on data sciences, knowledge discovery and business intelligence, it is my pleasure to invite you to attend this Colloquium and Workshop. By attending this Colloquium, and the relevant discussions with the Data Sciences and Knowledge Discovery Lab at the UTS Priority Centre for Quantum Computation and Intelligent Systems, you will have the opportunity to extend collaboration between the two groups, and to interact with many other researchers, practitioners and industry partners. Your involvement by attending this colloquium will contribute significantly to the promotion of research, development and applications for data science, knowledge discovery and business intelligence.

Workshop attendees should submit an abstract of their paper, including author(s) affiliation to Dr Xinhua Zhu (see below for contact details), and prepare a 20-minute presentation. The due date for abstract submission is 20 June 2009. Authors of selected abstracts from those submitted will be invited to develop their abstract into a paper for inclusion in a special issue on data science, knowledge discovery and business intelligence in the International Journal of Business Intelligence and Data Mining.

Colloquium contacts are:

Colloquium Co-ordinator:
Associate Professor Longbing Cao
Data Sciences and Knowledge Discovery Lab, Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney
Tel: 61-2-95144477
Fax: 61-2-95144517
Mobile: 61-2-(0)423-255-257
Email: longbing.cao-1@uts.edu.au

Business issues (accommodation, etc.)
Ms Teraesa Ashworth
School of Software, Faculty of Engineering and IT, University of Technology, Sydney
Tel: 9514 2033
Fax: 9514 4535
Email: teraesa@it.uts.edu.au

Technical issues (program, invitation letter, etc.)
Dr Xinhua Zhu
Data Sciences and Knowledge Discovery Lab, Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney
Tel: +61-2-9514 4771
Fax: +61-2-9514 4517
Email: xhzhu@it.uts.edu.au

Registration and venue
Ms Eryani Tjondrowalujo
FEIT, Distance Learning and Short Courses
Tel: +61 2 9514 1806
Fax: +61 2 9514 1844
Email: Eryani@it.uts.edu.au