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Multicore Mining of Correlated Pattrens

Authors:
Christian Ernst
Alain Casali

Keywords: Data Mining, Decision Correlation Rule, Multicore Architecture, Parallel Pattern Library.

Abstract:
We present a new approach related to the discovery of correlated patterns based on the use of multicore architectures. Our work rests on a full Knowledge Discovery in Databases system allowing one to extract Decision Correlation Rules based on the Chi-squared criterion from any database that includes a target column.We use a levelwise algorithm as well as contingency vectors, an alternate and more powerful representation of contingency tables. The goal is to parallelize the extraction of relevant rules by invoking the Parallel Patterns Library which allows a simultaneous access to the whole available cores on modern computers. We finally present first results and performance gains.

Pages: 18 to 23

Copyright: Copyright (c) IARIA, 2013

Publication date: November 17, 2013

Published in: conference

ISSN: 2326-9332

ISBN: 978-1-61208-311-7

Location: Lisbon, Portugal

Dates: from November 17, 2013 to November 21, 2013