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» CFI-Stream: mining closed frequent itemsets in data streams
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CIKM
2009
Springer
14 years 22 days ago
Mining frequent itemsets in time-varying data streams
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
Yingying Tao, M. Tamer Özsu
KAIS
2006
110views more  KAIS 2006»
13 years 6 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...
PAKDD
2007
ACM
121views Data Mining» more  PAKDD 2007»
14 years 8 days 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
ICDM
2007
IEEE
180views Data Mining» more  ICDM 2007»
14 years 14 days ago
Mining Frequent Itemsets in a Stream
We study the problem of finding frequent itemsets in a continuous stream of transactions. The current frequency of an itemset in a stream is defined as its maximal frequency ove...
Toon Calders, Nele Dexters, Bart Goethals
KAIS
2008
150views more  KAIS 2008»
13 years 6 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng