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» Statistical Supports for Frequent Itemsets on Data Streams
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JIIS
2007
150views more  JIIS 2007»
14 years 11 months ago
Towards a new approach for mining frequent itemsets on data stream
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
Chedy Raïssi, Pascal Poncelet, Maguelonne Tei...
PAKDD
2007
ACM
121views Data Mining» more  PAKDD 2007»
15 years 5 months ago
Two-Phase Algorithms for a Novel Utility-Frequent Mining Model
When companies seek for the combination of products which can constantly generate high profit, the association rule mining (ARM) or the utility mining will not achieve such task. ...
Jieh-Shan Yeh, Yu-Chiang Li, Chin-Chen Chang
DATAMINE
2006
230views more  DATAMINE 2006»
14 years 11 months ago
Mining top-K frequent itemsets from data streams
Frequent pattern mining on data streams is of interest recently. However, it is not easy for users to determine a proper frequency threshold. It is more reasonable to ask users to ...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu
PR
2007
81views more  PR 2007»
14 years 11 months ago
Mining evolving data streams for frequent patterns
A data stream is a potentially uninterrupted flow of data. Mining this flow makes it necessary to cope with uncertainty, as only a part of the stream can be stored. In this pape...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
KAIS
2006
110views more  KAIS 2006»
14 years 11 months ago
Catch the moment: maintaining closed frequent itemsets over a data stream sliding window
Yun Chi, Haixun Wang, Philip S. Yu, Richard R. Mun...