Lectures on Data Mining by Marek Perkowski

1. First part of introductory lecture about logic methods in Data Mining. Logic methods. Data Mining. Introduction to Decomposition.
   
   
2. Second part of introductory lecture about logic methods in data mining. Detaile presentation of the Constructive Induction Method based on Decomposition of Multiple-Valued Relations.
3. Survey about Decomposition of Functions and Relations for Data Mining.
   In PDF format.
4. Paper about Functional Decomposition for Data Mining.
   In Postscript format.
   In PDF format.
5. Paper about bi-decomposition. This method is also used for Data Mining. It was not presented in a seminar, but it is similar.
   In Postscript format.
   In PDF format.
6. Complete Ph.D. Dissertation of Stan Grygiel about Functional Decomposition in Data Mining.
   In Postscript format.
   In PDF format.
7. Another paper about Decomposition of Functions and Relations for Data Mining.
   In Postscript format.
   In PDF format.
8. One more paper about Decomposition of Functions and Relations for Data Mining.
   In Postscript format.
   In PDF format.
9. One more paper about Decomposition of Functions and Relations for Data Mining.
   In Postscript format.
   In PDF format.
10. Genetic Algorithms
    Lecture about Evolutionary Algorithms for Data Mining.
    In PDF Format.
    In Power Point Format.
    
    
11. Neural Nets - will come soon.
12. Decision Tress - will come soon.
13. Support Vector Machines - will come soon.