Knowledge Discovery and Data Mining

This site contians implementations of algorithms and methods covered in courses being offered by Dr. Zbigniew W. Ras , as well as experimental results in recent publications. For more detailed information of each subject, please visit here.


1. ERID - Extracting Rules from Incomplete Information System
2. Association Rules (Frequency Item Set with Apriori Algorithm )
3. Association Rule (Representative Rules)
4. LERS - Learning Examples based on Rough Sets
5. Reducts based on Prime Implicants
6. k-Relative Reducts
7. Reducts for Incomplete Information System
8. Reducts driven Distributed Autonomous Query Answering System (Rdaqas)
9. Chase I Algorithm (Single Attribute Chase)
10. Chase I Algorithm (Information System Chase
)
11. Chase II Algorithm (For Distributed Information Systems)
12. Data Security and Null Value Imputation in Distributed Information Systems
13. Ensuring Data Security against Knowledge Discovery in Distributed Information System
14. ID3
15. Action Rule  I
16. TV Tree
17. ERID Hierarchy (ERIDH)
18. Attribute Hierarchy Transformation

and more to come shortly..

 


Site maintained by Dr. Zbigniew Ras & Seunghyun Im, (C) 2005