Title: An inductive database system based on virtual mining views
Authors: Blockeel, Hendrik * ×
Calders, Toon *
Fromont, Elisa *
Goethals, Bart *
Prado, Adriana *
Robardet, Celine * #
Issue Date: Jan-2012
Publisher: Kluwer Academic Publishers
Series Title: Data Mining and Knowledge Discovery vol:24 issue:1 pages:247-287
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.
ISSN: 1384-5810
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Informatics Section
* (joint) first author
× corresponding author
# (joint) last author

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