583 search results - page 41 / 117 » Mining evolving data streams for frequent patterns |
RCIS
2010
14 years 8 months ago
2010
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
CIKM
2009
Springer
15 years 1 months ago
2009
Springer
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
KDD
2010
ACM
15 years 1 months ago
2010
ACM
Concise representations of frequent itemsets sacrifice readability and direct interpretability by a data analyst of the concise patterns extracted. In this paper, we introduce an...
101
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CINQ
2004
Springer
15 years 1 months ago
2004
Springer
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
103
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SBACPAD
2003
IEEE
15 years 3 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...