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» kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets
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IEAAIE
2009
Springer
15 years 4 months ago
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin...
CNSR
2007
IEEE
128views Communications» more  CNSR 2007»
15 years 4 months ago
A Novel Approach for Frequent Phrase Mining in Web Search Engine Query Streams
In this paper, conceptual frequency rate, a new frequency definition suitable for query stream mining, is introduced. An online single-pass algorithm called OFSD (Online Frequent...
M. Barouni-Ebrahimi, Ali A. Ghorbani
IDEAL
2003
Springer
15 years 2 months ago
Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design
Mining frequent patterns has been a topic of active research because it is computationally the most expensive step in association rule discovery. In this paper, we discuss the use ...
Raj P. Gopalan, Yudho Giri Sucahyo
114
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IDA
2002
Springer
14 years 9 months ago
Optimization of association rule mining queries
Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...
Baptiste Jeudy, Jean-François Boulicaut
ICDE
2004
IEEE
155views Database» more  ICDE 2004»
15 years 11 months ago
BIDE: Efficient Mining of Frequent Closed Sequences
Previous studies have presented convincing arguments that a frequent pattern mining algorithm should not mine all frequent patterns but only the closed ones because the latter lea...
Jianyong Wang, Jiawei Han