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» Catch the moment: maintaining closed frequent itemsets over ...
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KAIS
2006
110views more  KAIS 2006»
13 years 4 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...
JIIS
2008
133views more  JIIS 2008»
13 years 4 months ago
Maintaining frequent closed itemsets over a sliding window
In this paper, we study the incremental update of Frequent Closed Itemsets (FCIs) over a sliding window in a high-speed data stream. We propose the notion of semi-FCIs, which is to...
James Cheng, Yiping Ke, Wilfred Ng
DAWAK
2006
Springer
13 years 8 months ago
An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...
Jia-Ling Koh, Shu-Ning Shin
CIKM
2009
Springer
13 years 8 months ago
Efficient itemset generator discovery over a stream sliding window
Mining generator patterns has raised great research interest in recent years. The main purpose of mining itemset generators is that they can form equivalence classes together with...
Chuancong Gao, Jianyong Wang
PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
13 years 10 months ago
Approximately Mining Recently Representative Patterns on Data Streams
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
Jia-Ling Koh, Yuan-Bin Don