intelligent databases and information systems department of computer science and artificial...

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

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Intelligent Databases and Information SystemsIntelligent Databases and Information SystemsDepartment of Computer Science and Artificial Intelligence, University of Granada, SpainDepartment of Computer Science and Artificial Intelligence, University of Granada, Spain

© Fernando Berzal, 2001© Fernando Berzal, 2001

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Introducing TMiner...Introducing TMiner...Introducing TMiner...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...Introducing TMiner...Introducing TMiner...Introducing TMiner...

Knowledge workers can analyze their own data using

a stardard WIMP interface

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And also through the web running TMiner as an applet...

Introducing TMiner...Introducing TMiner...Introducing TMiner...Introducing TMiner...

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Data Mining techniquesData Mining techniquesData Mining techniquesData Mining techniques

Association rule mining (Apriori & TBAR)Association rule mining (Apriori & TBAR) Classification modelsClassification models

– Top-Down Induction of Decision TreesTop-Down Induction of Decision Trees– ART (Association Rule Trees)ART (Association Rule Trees)– STAR Methodology (AQ & CN2)STAR Methodology (AQ & CN2)– Parametric & Non-parametric classifiersParametric & Non-parametric classifiers

e.g. Euclidean & Quadratic classifiers, k-NN, LVQ, DSM...e.g. Euclidean & Quadratic classifiers, k-NN, LVQ, DSM...

Clustering algorithmsClustering algorithmse.g. K-Means, GRASP clustering, ISODATA...e.g. K-Means, GRASP clustering, ISODATA...

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Association rule miningAssociation rule miningAssociation rule miningAssociation 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: TDIDTClassification: TDIDTClassification: TDIDTClassification: TDIDT

Decision Tree Inducerbased on Quinlan’s C4.5

Alternative partition rules

Entropy Gain ratio Gini index MaxDif

‘else’ branches

Multi-way decision treesfor continuous attributes

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Classification: ARTClassification: ARTClassification: ARTClassification: ART

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Numerical CruncherNumerical CruncherNumerical CruncherNumerical CruncherPattern Recognition Algorithm Collection

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Software downloadSoftware downloadSoftware downloadSoftware download

TMiner Personal Edition is available from

http://frontdb.ugr.es/