Mining Views: Database Views for Data Mining

Authors:
Hendrik Blockeel;Toon Calders;Elisa Fromont;Bart Goethals;Adriana Prado
Affiliations:
Katholieke Universiteit Leuven, Belgium/ Leiden Institute of Advanced Computer Science, The Netherlands. hendrik.blockeel@cs.kuleuven.be;Technische Universiteit Eindhoven, The Netherlands. t.calders@tue.nl;Katholieke Universiteit Leuven, Belgium. elisa.fromont@cs.kuleuven.be;Universiteit Antwerpen, Belgium. bart.goethals@ua.ac.be;Universiteit Antwerpen, Belgium. adriana.prado@ua.ac.be
Venue:
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Year:
2008

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Abstract

We present a system towards the integration of data mining into relational databases. To this end, a relational database model is proposed, based on the so called virtual mining views. We show that several types of patterns and models over the data, such as itemsets, association rules and decision trees, can be represented and queried using a unifying framework.