Publication
Title
An inductive database system based on virtual mining views
Author
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.
Language
English
Source (journal)
Data mining and knowledge discovery. - Boston, Mass.
Publication
Boston, Mass. : 2012
ISSN
1384-5810
Volume/pages
24:1(2012), p. 247-287
ISI
000298966700009
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 05.03.2012
Last edited 02.08.2017
To cite this reference