Paper Info
Title
An inductive database system based on virtual mining views
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.
Year
DOI
Venue
2012
10.1007/s10618-011-0229-7
Data Min. Knowl. Discov.
Keywords
DocType
Volume
Inductive databases,Query languages,Query processing
Journal
24
Issue
ISSN
Citations 
1
1384-5810
11
PageRank 
References 
Authors
0.52
26
6
Name
Order
Citations
PageRank
Hendrik Blockeel12744177.48
Toon Calders2133393.66
Élisa Fromont319225.51
Bart Goethals4157594.55
Adriana Prado5875.14
Céline Robardet669660.36