Download Presentación de TMiner - Intelligent Databases and Information

Intelligent Databases and Information Systems
Department of Computer Science and Artificial Intelligence, University of Granada, Spain
© Fernando Berzal, 2001
Introducing TMiner...
Integrated Data Mining
framework written in Java.
JDBC gives access to
virtually any relational
database in the market.
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Introducing TMiner...
Knowledge workers
can analyze their own data using
a stardard WIMP interface
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Introducing TMiner...
And also through the web
running TMiner as an applet...
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Data Mining techniques
Association rule mining (Apriori & TBAR)
 Classification models
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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...
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Clustering algorithms
e.g. K-Means, GRASP clustering, ISODATA...
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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
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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
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Classification: ART
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Numerical Cruncher
Pattern Recognition Algorithm Collection
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Software download
TMiner Personal Edition is available from
http://frontdb.ugr.es/
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