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» An Iterative Method for Mining Frequent Temporal Patterns
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JIIS
2007
154views more  JIIS 2007»
13 years 8 months ago
Constraint-based sequential pattern mining: the pattern-growth methods
Constraints are essential for many sequential pattern mining applications. However, there is no systematic study on constraint-based sequential pattern mining. In this paper, we in...
Jian Pei, Jiawei Han, Wei Wang
KI
2004
Springer
14 years 1 months ago
Mining Hierarchical Temporal Patterns in Multivariate Time Series
Abstract. The Unification-based Temporal Grammar is a temporal extension of static unification-based grammars. It defines a hierarchical temporal rule language to express comple...
Fabian Mörchen, Alfred Ultsch
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 11 months ago
Sampling minimal frequent boolean (DNF) patterns
We tackle the challenging problem of mining the simplest Boolean patterns from categorical datasets. Instead of complete enumeration, which is typically infeasible for this class ...
Geng Li, Mohammed J. Zaki
VLDB
2005
ACM
180views Database» more  VLDB 2005»
14 years 2 months ago
Cache-conscious Frequent Pattern Mining on a Modern Processor
In this paper, we examine the performance of frequent pattern mining algorithms on a modern processor. A detailed performance study reveals that even the best frequent pattern min...
Amol Ghoting, Gregory Buehrer, Srinivasan Parthasa...
PKDD
2005
Springer
138views Data Mining» more  PKDD 2005»
14 years 2 months ago
Indexed Bit Map (IBM) for Mining Frequent Sequences
Sequential pattern mining has been an emerging problem in data mining. In this paper, we propose a new algorithm for mining frequent sequences. It processes only one scan of the da...
Lionel Savary, Karine Zeitouni