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» Parallel mining of closed sequential patterns
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109
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EUROPAR
2001
Springer
15 years 6 months ago
Parallel Tree Projection Algorithm for Sequence Mining
Discovery of sequential patterns is becoming increasingly useful and essential in many scienti c and commercial domains. Enormous sizes of available datasets and possibly large nu...
Valerie Guralnik, Nivea Garg, George Karypis
112
Voted
EGC
2009
Springer
15 years 6 hour ago
SPAMS: A Novel Incremental Approach for Sequential Pattern Mining in Data Streams
Lionel Vinceslas, Jean-Emile Symphor, Alban Manche...
105
Voted
PPOPP
2005
ACM
15 years 7 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...
156
Voted
ICDE
2009
IEEE
173views Database» more  ICDE 2009»
14 years 12 months ago
Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database
There is a huge wealth of sequence data available, for example, customer purchase histories, program execution traces, DNA, and protein sequences. Analyzing this wealth of data to ...
Bolin Ding, David Lo, Jiawei Han, Siau-Cheng Khoo
148
Voted
ICDM
2010
IEEE
201views Data Mining» more  ICDM 2010»
15 years 5 days 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