1. Intelligent Databases and Information Systems Department of Computer Science and Artificial Intelligence, University of Granada, Spain © Fernando Berzal, 2001

2. 1 Introducing TMiner... Integrated Data Mining framework written in Java. JDBC gives access to virtually any relational database in the market.

3. 2 Introducing TMiner... Knowledge workers can analyze their own data using a stardard WIMP interface

4. 3 And also through the web running TMiner as an applet... Introducing TMiner...

5. 4 Data Mining techniques Association rule mining (Apriori & TBAR) Association rule mining (Apriori & TBAR) Classification models Classification models –Top-Down Induction of Decision Trees –ART (Association Rule Trees) –STAR Methodology (AQ & CN2) –Parametric & Non-parametric classifiers e.g. Euclidean & Quadratic classifiers, k-NN, LVQ, DSM... Clustering algorithms Clustering algorithms e.g. K-Means, GRASP clustering, ISODATA...

6. 5 Association rule mining “TBAR: efficient method for association rule mining in relational databases” Fernando Berzal, Juan Carlos Cubero, Nicolás Marín & José María Serrano Data & Knowledge Engineering, 37 (2001), 47-64

7. 6 Classification: TDIDT Decision Tree Inducer based on Quinlan’s C4.5  Alternative partition rules Entropy Gain ratio Gini index MaxDif  ‘else’ branches  Multi-way decision trees for continuous attributes

8. 7 Classification: ART

9. 8 Numerical Cruncher Pattern Recognition Algorithm Collection

10. 9 Software download TMiner Personal Edition is available from http://frontdb.ugr.es/