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» Efficient Frequent Pattern Mining in Relational Databases
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JCST
2008
119views more  JCST 2008»
13 years 7 months ago
Mining Frequent Generalized Itemsets and Generalized Association Rules Without Redundancy
This paper presents some new algorithms to efficiently mine max frequent generalized itemsets (g-itemsets) and essential generalized association rules (g-rules). These are compact ...
Daniel Kunkle, Donghui Zhang, Gene Cooperman
DASFAA
2007
IEEE
220views Database» more  DASFAA 2007»
14 years 2 months ago
LAPIN: Effective Sequential Pattern Mining Algorithms by Last Position Induction for Dense Databases
Sequential pattern mining is very important because it is the basis of many applications. Although there has been a great deal of effort on sequential pattern mining in recent year...
Zhenglu Yang, Yitong Wang, Masaru Kitsuregawa
JCIT
2008
128views more  JCIT 2008»
13 years 7 months ago
OPAM-An Efficient One Pass Association Mining Technique without Candidate Generation
This paper presents an efficient One Pass Association Mining technique i.e. OPAM, which finds all the frequent itemsets without generating any candidate sets. OPAM is basically an...
S. Roy, D. K. Bhattacharyya
ADBIS
1999
Springer
104views Database» more  ADBIS 1999»
13 years 12 months ago
Mining Various Patterns in Sequential Data in an SQL-like Manner
Abstract. One of the most important data mining tasks is discovery of frequently occurring patterns in sequences of events. Many algorithms for finding various patterns in sequenti...
Marek Wojciechowski
ADBIS
2003
Springer
108views Database» more  ADBIS 2003»
14 years 28 days ago
Evaluation of Common Counting Method for Concurrent Data Mining Queries
Data mining queries are often submitted concurrently to the data mining system. The data mining system should take advantage of overlapping of the mined datasets. In this paper we ...
Marek Wojciechowski, Maciej Zakrzewicz