313 search results - page 20 / 63 » Mining Frequent Itemsets in a Stream |
110
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CORR
2010
Springer
14 years 9 months ago
2010
Springer
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
FIMI
2003
15 years 1 months ago
2003
We present a depth-first algorithm, PatriciaMine, that discovers all frequent itemsets in a dataset, for a given support threshold. The algorithm is main-memory based and employs...
104
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DAMON
2009
Springer
15 years 6 months ago
2009
Springer
We present two efficient Apriori implementations of Frequent Itemset Mining (FIM) that utilize new-generation graphics processing units (GPUs). Our implementations take advantage ...
TCS
2008
14 years 11 months ago
2008
Computing frequent itemsets is one of the most prominent problems in data mining. We study the following related problem, called FREQSAT, in depth: given some itemset-interval pai...
104
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KDD
2008
ACM
16 years 6 days ago
2008
ACM
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...