214 search results - page 4 / 43 » New Parallel Algorithms for Frequent Itemset Mining in Very ... |
SPAA
1997
ACM
13 years 10 months ago
1997
ACM
Discovery of association rules is an important database mining problem. Mining for association rules involves extracting patterns from large databases and inferring useful rules f...
KES
2004
Springer
13 years 11 months ago
2004
Springer
Association rule mining is an important data mining problem that has been studied extensively. In this paper, a simple but Fast algorithm for Intersecting attribute lists using a ...
PPOPP
2005
ACM
13 years 11 months ago
2005
ACM
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
CORR
2004
Springer
13 years 6 months ago
2004
Springer
Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate a...
KDD
2006
ACM
14 years 6 months ago
2006
ACM
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...