149 search results - page 6 / 30 » Itemset Materializing for Fast Mining of Association Rules |
DSS
2006
14 years 11 months ago
2006
Classification is one of the key issues in the fields of decision sciences and knowledge discovery. This paper presents a new approach for constructing a classifier, based on an e...
JCST
2008
14 years 11 months ago
2008
This paper presents some new algorithms to efficiently mine max frequent generalized itemsets (g-itemsets) and essential generalized association rules (g-rules). These are compact ...
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ICDE
2008
IEEE
16 years 10 days ago
2008
IEEE
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
CORR
2010
Springer
14 years 11 months ago
2010
Springer
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
AMT
2006
Springer
15 years 28 days ago
2006
Springer
As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get appro...