148 search results - page 1 / 30 » Mining top-K frequent itemsets from data streams |
DATAMINE
2006
13 years 4 months ago
2006
Frequent pattern mining on data streams is of interest recently. However, it is not easy for users to determine a proper frequency threshold. It is more reasonable to ask users to ...
DIS
2007
Springer
13 years 8 months ago
2007
Springer
In this work we study the mining of top-K frequent closed itemsets, a recently proposed variant of the classical problem of mining frequent closed itemsets where the support thresh...
ICDE
2008
IEEE
14 years 5 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...
IEAAIE
2009
Springer
13 years 11 months ago
2009
Springer
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
JCIT
2010
12 years 11 months ago
2010
Sequence mining is an important data mining task. In order to retrieve interesting sequences from a large database, a minimum support threshold is needed to be specified. Unfortun...