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» Mining Frequent Diamond Episodes from Event 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
PAKDD
2010
ACM
215views Data Mining» more  PAKDD 2010»
13 years 6 months ago
Mining Closed Episodes from Event Sequences Efficiently
Recent studies have proposed different methods for mining frequent episodes. In this work, we study the problem of mining closed episodes based on minimal occurrences. We study the...
Wenzhi Zhou, Hongyan Liu, Hong Cheng
IS
2008
13 years 4 months ago
Efficient mining of frequent episodes from complex sequences
Discovering patterns with highly significance is an important problem in data mining discipline. An episode is defined to be a partially ordered set of events for a consecutive an...
Kuo-Yu Huang, Chia-Hui Chang
DIS
2009
Springer
13 years 11 months ago
Mining Frequent Bipartite Episode from Event Sequences
Takashi Katoh, Hiroki Arimura, Kouichi Hirata