Sequential Pattern Mining

Sequential Pattern Mining

Florent Masseglia (INRIA Sophia Antipolis, France), Maguelonne Teisseire (University of Montpellier II, France) and Pascal Poncelet (Ecole des Mines d’ Alès, France)
Copyright: © 2005 |Pages: 5
DOI: 10.4018/978-1-59140-557-3.ch193
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Abstract

Sequential pattern mining deals with data represented as sequences (a sequence contains sorted sets of items). Compared to the association rule problem, a study of such data provides “inter-transaction” analysis (Agrawal & Srikant, 1995). Applications for sequential pattern extraction are numerous and the problem definition has been slightly modified in different ways. Associated to elegant solutions, these problems can match with real-life timestamped data (when association rules fail) and provide useful results.

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