CFP

Applied Artificial Intelligence A Special Issue of Development of Multi-Database Mining System and Technology

Motivation

The increasing use of multi-database technology, such as computer communication networks, distributed database systems, federated database systems, multi-database language systems, and homogeneous multi-database language systems, has led to the development of many multi-database systems in real-world applications. Many organizations need to mine their multiple databases distributed in branches for the purpose of decision-making.

It is clear that traditional mono-database mining techniques are inadequate for multi-database mining. This is because (1) both data and patterns in multi-databases present more challenges than those in mono-databases and (2) putting all the data from the relevant databases into a single dataset can destroy some patterns that hide in multi-databases distributively.

The above observations show that the effort in attacking multi-database mining problem will greatly impact on both industry and academia.

Topics of Interest

Database Classification Database Selection Data Preprocessing Multi-database Mining Techniques Multi-database Mining System Multi-database Mining Application Multi-database Mining by Multi-agents Test-bed for Multi-database Mining Post-analysis for Multi-database Mining

Submission

Paper submissions using the style available at

http://www.tandf.co.uk/journals/authors/t-authors/aaiauth.html

are recommended. All papers should be sent electronically (preferably in PDF or PS) to one of guest editors. (zhangsc@it.uts.edu.au or chengqi@it.uts.edu.au )

Important Dates

Submission Deadline July 1, 2002 Author Notification October 1, 2002 Camera-ready Due November 1, 2002 May/June 2003 - Publication

Guest Editors

Dr. Shichao Zhang and Prof. Chengqi Zhang Faculty of Information Technology University of Technique Sydney PO Box 123, Broadway, NSW 2007 Australia