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Sequential pattern mining

Known as: Sequence mining 
Sequential pattern mining is a topic of data mining concerned with finding statistically relevant patterns between data examples where the values are… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
In recent decade, utility mining has attracted a great attention, but most of the existing studies are developed to deal with… 
2009
2009
The task of sequential pattern mining is useful for various applications, including market analysis, decision support, and… 
2008
2008
Alarms association will play an important role in improving the service and reliability in modern telecommunication networks. As… 
2008
2008
In data mining field, sequential pattern mining can be applied in divers applications such as basket analysis, web access… 
2007
2007
In this paper, we deal with mining sequential patterns in multiple time sequences. Building on a state-of-the-art sequential… 
2006
2006
In this work, we study the problem of closed sequential pattern mining. We propose a novel approach which extends a frequent… 
2005
2005
Sequential pattern mining is an important data mining problem with broad applications. However, it is also a challenging problem… 
2005
2005
Sequential pattern mining is an important problem for data mining with broad applications. This paper presents a first-Horizontal… 
2004
2004
Abstract : In the modern business world, collaborative data mining becomes especially important because of the mutual benefit it… 
2002
2002
Basic formulation of the sequential pattern discovery problem assumes that the only constraint to be satisfied by discovered…