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» A hybrid approach to mining frequent sequential patterns
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DAWAK
2000
Springer
15 years 2 months ago
Data Mining Support in Database Management Systems
Abstract. The most popular data mining techniques consist in searching databases for frequently occurring patterns, e.g. association rules, sequential patterns. We argue that in co...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
75
Voted
EUSFLAT
2007
118views Fuzzy Logic» more  EUSFLAT 2007»
14 years 11 months ago
A Less Cumulative Algorithm of Mining Linguistic Browsing Patterns in the World Wide Web
Finding sequential patterns is one of important issues in data mining. This paper deals with linguistic (fuzzy) sequential patterns. The existing algorithms for discovering such p...
Krzysztof Dyczkowski
SPAA
1997
ACM
15 years 1 months ago
A Localized Algorithm for Parallel Association Mining
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...
ICDM
2010
IEEE
201views Data Mining» more  ICDM 2010»
14 years 7 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
SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
15 years 6 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki