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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… 
2016
2016
Sequential pattern mining (SPM) is a widely used data mining technique for discovering common sequences of events in large… 
2009
2009
The task of sequential pattern mining is useful for various applications, including market analysis, decision support, and… 
2008
2008
The prediction of protein sequence function is one of the problems arising in the recent progress in bioinformatics. Traditional… 
2008
2008
Alarms association will play an important role in improving the service and reliability in modern telecommunication networks. As… 
2007
2007
Sequential pattern mining is to discover all frequent sequences from a sequence database and has been an important issue in data… 
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… 
Highly Cited
2004
Highly Cited
2004
To provide intelligent personalized online services such as Web recommendations, it is usually necessary to model users' Web… 
2002
2002
Basic formulation of the sequential pattern discovery problem assumes that the only constraint to be satisfied by discovered…