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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.
2012
2012
Although many IDSs have been proposed to assist administrators in detecting intrusion, false alarms are still huge and result in… 
2010
2010
Application of data mining techniques in library data results interesting and useful patterns that can be used to improve… 
2009
2009
The task of sequential pattern mining is useful for various applications, including market analysis, decision support, and… 
2009
2009
This paper focuses on the requirements of web personalization service for sequential patterns and sequential mining algorithms… 
2008
2008
Alarms association will play an important role in improving the service and reliability in modern telecommunication networks. As… 
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… 
2008
2008
In this paper, we systematically explore the search space of frequent sequence mining and present two novel pruning strategies… 
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…