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» Mining Sectorial Episodes from Event Sequences
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IS
2008
13 years 6 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
14 years 21 days ago
Mining Frequent Bipartite Episode from Event Sequences
Takashi Katoh, Hiroki Arimura, Kouichi Hirata
APWEB
2006
Springer
13 years 10 months ago
Efficient Mining Strategy for Frequent Serial Episodes in Temporal Database
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
Kuo-Yu Huang, Chia-Hui Chang
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
ICDM
2009
IEEE
145views Data Mining» more  ICDM 2009»
13 years 3 months ago
Significance of Episodes Based on Minimal Windows
Discovering episodes, frequent sets of events from a sequence has been an active field in pattern mining. Traditionally, a level-wise approach is used to discover all frequent epis...
Nikolaj Tatti