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SDM
2007
SIAM
117views Data Mining» more  SDM 2007»
12 years 3 months ago
Discriminating Subsequence Discovery for Sequence Clustering
In this paper, we explore the discriminating subsequencebased clustering problem. First, several effective optimization techniques are proposed to accelerate the sequence mining p...
Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Ka...
DAWAK
2008
Springer
12 years 3 months ago
Mining Multidimensional Sequential Patterns over Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery and has been widely studied for over a decade by data mining researchers. More and more, with the ...
Chedy Raïssi, Marc Plantevit
AUSDM
2006
Springer
94views Data Mining» more  AUSDM 2006»
12 years 5 months ago
Marking Time in Sequence Mining
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
Carl Mooney, John F. Roddick
SAC
2004
ACM
12 years 7 months ago
A new algorithm for gap constrained sequence mining
The sequence mining problem consists in ļ¬nding frequent sequential patterns in a database of time-stamped events. Several application domains require limiting the maximum tempor...
Salvatore Orlando, Raffaele Perego, Claudio Silves...
ICDM
2008
IEEE
129views Data Mining» more  ICDM 2008»
12 years 8 months ago
Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions
In this paper we study the problem of mining frequent sequences satisfying a given regular expression. Previous approaches to solve this problem were focusing on its search space,...
Roberto Trasarti, Francesco Bonchi, Bart Goethals
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