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» Efficient mining of frequent episodes from complex sequences
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MDAI
2007
Springer
13 years 11 months ago
Mining Frequent Diamond Episodes from Event Sequences
In this paper, we introduce a diamond episode of the form s1 → E → s2, where s1 and s2 are events and E is a set of events. The diamond episode s1 → E → s2 means that every...
Takashi Katoh, Kouichi Hirata, Masateru Harao
DIS
2009
Springer
14 years 5 days ago
Mining Frequent Bipartite Episode from Event Sequences
Takashi Katoh, Hiroki Arimura, Kouichi Hirata
DIS
2006
Springer
13 years 9 months ago
Mining Sectorial Episodes from Event Sequences
In this paper, we introduce a sectorial episode of the form C r, where C is a set of events and r is an event. The sectorial episode C r means that every event of C is followed b...
Takashi Katoh, Kouichi Hirata, Masateru Harao
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
14 years 6 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White