313 search results - page 20 / 63 » Mining Frequent Itemsets in a Stream |
CORR
2010
Springer
14 years 7 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
14 years 11 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...
DAMON
2009
Springer
15 years 4 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 ...
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TCS
2008
14 years 9 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...
KDD
2008
ACM
15 years 10 months 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...