204 search results - page 37 / 41 » Hiding Sensitive Patterns in Association Rules Mining |
FQAS
2004
Springer
13 years 11 months ago
2004
Springer
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
ICTAI
2003
IEEE
14 years 25 days ago
2003
IEEE
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
RCIS
2010
13 years 6 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,...
SEDE
2007
13 years 9 months ago
2007
A Web-based business always wants to have the ability to track users’ browsing behavior history. This ability can be achieved by using Web log mining technologies. In this paper...
SEMCO
2008
IEEE
14 years 1 months ago
2008
IEEE
The paper systematically compares two feature extraction algorithms to mine product features commented on in customer reviews. The first approach [17] identifies candidate featu...