214 search results - page 3 / 43 » New Parallel Algorithms for Frequent Itemset Mining in Very ... |
PKDD
2007
Springer
13 years 11 months ago
2007
Springer
Frequent itemset mining assists the data mining practitioner in searching for strongly associated items (and transactions) in large transaction databases. Since the number of frequ...
IEEEHPCS
2010
13 years 4 months ago
2010
The problem of closed frequent itemset discovery is a fundamental problem of data mining, having applications in numerous domains. It is thus very important to have efficient par...
ICDM
2005
IEEE
13 years 11 months ago
2005
IEEE
Frequent itemset mining is a core data mining operation and has been extensively studied over the last decade. This paper takes a new approach for this problem and makes two major...
AMT
2006
Springer
13 years 7 months 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...
KAIS
2008
13 years 5 months ago
2008
A complete set of frequent itemsets can get undesirably large due to redundancy when the minimum support threshold is low or when the database is dense. Several concise representat...