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» Mining Closed Sequential Patterns with Time Constraints
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KDD
2005
ACM
170views Data Mining» more  KDD 2005»
14 years 6 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
DAWAK
2007
Springer
13 years 9 months ago
Mining First-Order Temporal Interval Patterns with Regular Expression Constraints
Most methods for temporal pattern mining assume that time is represented by points in a straight line starting at some initial instant. In this paper, we consider a new kind of fir...
Sandra de Amo, Arnaud Giacometti, Waldecir Pereira...
TKDE
2002
151views more  TKDE 2002»
13 years 5 months ago
Mining Sequential Patterns with Regular Expression Constraints
Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim
KDID
2004
121views Database» more  KDID 2004»
13 years 7 months ago
Constraint Relaxations for Discovering Unknown Sequential Patterns
The main drawbacks of sequential pattern mining have been its lack of focus on user expectations and the high number of discovered patterns. However, the solution commonly accepted...
Cláudia Antunes, Arlindo L. Oliveira
ICDM
2010
IEEE
201views Data Mining» more  ICDM 2010»
13 years 3 months ago
Mining Closed Strict Episodes
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...
Nikolaj Tatti, Boris Cule