214 search results - page 5 / 43 » New Parallel Algorithms for Frequent Itemset Mining in Very ... |
KDD
2006
ACM
14 years 7 months ago
2006
ACM
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
Mining High Utility Itemsets from a transaction database is to find itemsests that have utility above a user-specified threshold. This problem is an extension of Frequent Itemset ...
SAC
2010
ACM
14 years 21 days ago
2010
ACM
In this paper we propose a new and elegant approach toward the generalization of frequent itemset mining to the multirelational case. We define relational itemsets that contain i...
TIME
2008
IEEE
14 years 1 months ago
2008
IEEE
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
ICDM
2002
IEEE
14 years 10 days ago
2002
IEEE
Mining of frequent itemsets is a fundamental data mining task. Past research has proposed many efficient algorithms for the purpose. Recent work also highlighted the importance of...