Softening the blow of frequent sequence analysis: soft constraints and temporal accuracy. (7th May 2009)

• Record Type: Journal Article
• Authors: Fiot, Celine; Laurent, Anne; Teisseire, Maguelonne
• Is Part Of: International journal of Web engineering and technology. Volume 5:Number 1(2009)
• Page Start: 24
• Page End: 47
• Publication Date: 2009-05-07
• Subjects: data mining -- generalised sequential patterns -- time constraints -- fuzzy set theory -- temporal accuracy -- web mining -- frequent sequence analysis -- temporal knowledge -- sequence graphs -- soft temporal constraints -- fuzzy logic; World Wide Web -- Periodicals; Web site development -- Periodicals; Application software -- Development -- Periodicals; 006.7
• Languages: English
• ISSNs: 1476-1289

Abstract

Mining temporal knowledge has many applications. Such knowledge can be all the more interesting as some time constraints between events can be integrated during the mining task. Both in data mining and machine learning, some methods have been proposed to extract and manage such knowledge using temporal constraints. In particular, some work has been done to mine Generalised Sequential Patterns (GSPs). However, such constraints are often too crisp or need a very precise assessment to avoid erroneous information. Within this context, we propose an approach based on sequence graphs derived from soft temporal constraints. These relaxed constraints enable us to find more GSPs. We also propose a temporal accuracy measure to provide the user with a tool for analysing the numerous extracted patterns.