697 search results - page 115 / 140 » Mining negative association rules |
145
click to vote
FIMI
2004
15 years 6 months ago
2004
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
142
click to vote
AUSDM
2007
Springer
15 years 10 months ago
2007
Springer
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
156
click to vote
ICDM
2007
IEEE
15 years 11 months ago
2007
IEEE
Estimating missing sensor values is an inherent problem in sensor network applications; however, existing data estimation approaches do not apply well to the context of datastream...
157
click to vote
ICWE
2004
Springer
15 years 10 months ago
2004
Springer
Data mining includes four steps: data preparation, pattern mining, and pattern analysis and pattern application. But in web environment, the user activities become much more comple...
136
click to vote
ICTAI
2003
IEEE
15 years 9 months 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...