An inductive database system based on virtual mining views |
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Authors: | Hendrik Blockeel Toon Calders élisa Fromont Bart Goethals Adriana Prado Céline Robardet |
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Affiliation: | 1. Katholieke Universiteit Leuven, Leuven, Belgium 2. Leiden Institute of Advanced Computer Science, Universiteit Leiden, Leiden, The Netherlands 3. Technische Universiteit Eindhoven, Eindhoven, The Netherlands 4. CNRS, Laboratoire Hubert Curien, UMR5516, Universit?? de Lyon (Universit?? Jean Monnet), 42023, Saint-Etienne, France 5. Universiteit Antwerpen, Antwerp, Belgium 6. Universit?? de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, 69621, Lyon, France
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Abstract: | Inductive databases integrate database querying with database mining. In this article, we present an inductive database system
that does not rely on a new data mining query language, but on plain SQL. We propose an intuitive and elegant framework based
on virtual mining views, which are relational tables that virtually contain the complete output of data mining algorithms
executed over a given data table. We show that several types of patterns and models that are implicitly present in the data,
such as itemsets, association rules, and decision trees, can be represented and queried with SQL using a unifying framework.
As a proof of concept, we illustrate a complete data mining scenario with SQL queries over the mining views, which is executed
in our system. |
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