388 search results - page 19 / 78 » Mining Frequent Itemsets Using Support Constraints |
89
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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 ...
94
Voted
VLDB
2007
ACM
15 years 3 months ago
2007
ACM
Multi-core processors are proliferated across different domains in recent years. In this paper, we study the performance of frequent pattern mining on a modern multi-core machine....
IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
— Association Rule Mining is a thoroughly studied problem in Data Mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the...
110
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KDD
2000
ACM
15 years 1 months ago
2000
ACM
The traditional association rule mining framework produces many redundant rules. The extent of redundancy is a lot larger than previously suspected. We present a new framework for...
COMPUTE
2010
ACM
15 years 1 months ago
2010
ACM
The single minimum support (minsup) based frequent pattern mining approaches like Apriori and FP-growth suffer from“rare item problem”while extracting frequent patterns. That...