27 search results - page 1 / 6 » Mining Closed Episodes from Event Sequences Efficiently |
PAKDD
2010
ACM
14 years 28 days ago
2010
ACM
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...
IS
2008
13 years 11 months ago
2008
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...
ICDM
2010
IEEE
13 years 9 months ago
2010
IEEE
Discovering patterns in a sequence is an important aspect of data mining. One popular choice of such patterns are episodes, patterns in sequential data describing events that often...
APWEB
2006
Springer
14 years 2 months ago
2006
Springer
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 ...
MDAI
2007
Springer
14 years 5 months ago
2007
Springer
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...