214 search results - page 6 / 43 » New Parallel Algorithms for Frequent Itemset Mining in Very ... |
DAWAK
2005
Springer
14 years 28 days ago
2005
Springer
Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...
RCIS
2010
13 years 5 months ago
2010
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
CINQ
2004
Springer
14 years 23 days ago
2004
Springer
Mining Frequent Itemsets is the core operation of many data mining algorithms. This operation however, is very data intensive and sometimes produces a prohibitively large output. I...
JIIS
2010
13 years 2 months ago
2010
The discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to ...
ICDE
2006
IEEE
14 years 8 months ago
2006
IEEE
Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...