Research Interests

• Develop algorithms for distributed incremental data mining from very large databases and distributed decision support systems. All the prototypes of these systems will be developed and implemented in an n-tier client-server environment such as J2EE.
• Develop tightly coupled learning algorithms on Database Management Systems, such as using SQL to implement rule learning algorithms, inference engines, and uncertainty management mechanisms.
• Develop knowledge-based systems to retrieve and manage useful and interesting information from the huge amount of data generated from the web.

List of Current Projects

• Distributed Incremental Data Mining from Very Large Databases
• Multi-Tier Distributed Decision Support Systems
• On-Line Admission Management System

Resources:

Professor Grzymala-Busse: the family of LERS machine learning programs at the University of Kansas

International Rough Set Society (IRSS)