204 search results - page 17 / 41 » Hiding Sensitive Patterns in Association Rules Mining |
DMKD
1997
ACM
13 years 11 months ago
1997
ACM
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
EDBT
2000
ACM
13 years 12 months ago
2000
ACM
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
ICDE
2008
IEEE
14 years 9 months ago
2008
IEEE
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
PKDD
1998
Springer
13 years 11 months ago
1998
Springer
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
ISI
2005
Springer
14 years 1 months ago
2005
Springer
Association rule mining is an important data analysis tool that can be applied with success to a variety of domains. However, most association rule mining algorithms seek to discov...