166 search results - page 7 / 34 » Mining High Utility Itemsets in Big Data |
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...
100
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DASFAA
2008
IEEE
14 years 11 months ago
2008
IEEE
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
SDM
2009
SIAM
15 years 7 months ago
2009
SIAM
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
PKDD
2004
Springer
15 years 3 months ago
2004
Springer
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
112
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ADC
2008
Springer
15 years 4 months ago
2008
Springer
Mining frequent patterns in a data stream is very challenging for the high complexity of managing patterns with bounded memory against the unbounded data. While many approaches as...