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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.
2016
2016
Sequential pattern mining (SPM) is a widely used data mining technique for discovering common sequences of events in large… 
2013
2013
This paper presents and analysis the common existing sequential pattern mining algorithms. It presents a classifying study of… 
2009
2009
The task of sequential pattern mining is useful for various applications, including market analysis, decision support, and… 
2008
2008
In data mining field, sequential pattern mining can be applied in divers applications such as basket analysis, web access… 
2008
2008
Spatio-temporal frequent patterns discovered from historical trajectories of moving objects can provide important knowledge for… 
2008
2008
The mining of closed sequential patterns has attracted researchers for its capability of using compact results to preserving the… 
2007
2007
In this paper, we deal with mining sequential patterns in multiple time sequences. Building on a state-of-the-art sequential… 
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… 
2002
2002
Basic formulation of the sequential pattern discovery problem assumes that the only constraint to be satisfied by discovered…