583 search results - page 28 / 117 » Mining evolving data streams for frequent patterns |
107
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KDD
2007
ACM
15 years 10 months ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
Existing studies for mining frequent XML query patterns mainly introduce a straightforward candidate generate-and-test strategy and compute frequencies of candidate query patterns...
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
In this paper we study the problem of mining frequent sequences satisfying a given regular expression. Previous approaches to solve this problem were focusing on its search space,...
FIMI
2004
14 years 11 months ago
2004
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
106
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ADC
2003
Springer
15 years 2 months ago
2003
Springer
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...