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Sequential Pattern Mining

Sequential Pattern Mining
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Author(s): Florent Masseglia (INRIA Sophia Antipolis, France), Maguelonne Teisseire (University of Montpellier II, France)and Pascal Poncelet (Ecole des Mines d’ Alès, France)
Copyright: 2009
Pages: 6
Source title: Encyclopedia of Data Warehousing and Mining, Second Edition
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-60566-010-3.ch274

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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 reallife timestamped data (when association rules fail) and provide useful results.

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