Title
An inductive database system based on virtual mining views An inductive database system based on virtual mining views
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
article
Publication
Boston, Mass. ,
Subject
Computer. Automation
Source (journal)
Data mining and knowledge discovery. - Boston, Mass.
Volume/pages
24(2012) :1 , p. 247-287
ISSN
1384-5810
1384-5810
ISI
000298966700009
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
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.
E-info
https://repository.uantwerpen.be/docman/iruaauth/cc7a7b/eef1277.pdf
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