148 search results - page 6 / 30 » Frequent Itemsets Mining for Database Auto-Administration |
KAIS
2008
13 years 8 months ago
2008
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
ISCI
2007
13 years 8 months ago
2007
Standard algorithms for association rule mining are based on identification of frequent itemsets. In this paper, we study how to maintain privacy in distributed mining of frequen...
TCS
2008
13 years 8 months ago
2008
Computing frequent itemsets is one of the most prominent problems in data mining. We study the following related problem, called FREQSAT, in depth: given some itemset-interval pai...
APWEB
2005
Springer
14 years 2 months ago
2005
Springer
Itemset share has been proposed as a measure of the importance of itemsets for mining association rules. The value of the itemset share can provide useful information such as total...
ICDM
2005
IEEE
14 years 2 months ago
2005
IEEE
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...