148 search results - page 24 / 30 » Mining top-K frequent itemsets from data streams |
KDD
2002
ACM
14 years 9 months ago
2002
ACM
We introduce a new algorithm for mining sequential patterns. Our algorithm is especially efficient when the sequential patterns in the database are very long. We introduce a novel...
ICDM
2005
IEEE
14 years 2 months ago
2005
IEEE
In this paper, we formulate the problem of summarization of a dataset of transactions with categorical attributes as an optimization problem involving two objective functions - co...
KES
2008
Springer
13 years 8 months ago
2008
Springer
Users prefer to navigate subjects from organized topics in an abundance resources than to list pages retrieved from search engines. We propose a framework to cluster frequent items...
ICCS
2003
Springer
14 years 1 months ago
2003
Springer
The association mining is one of the primary sub-areas in the field of data mining. This technique had been used in numerous practical applications, including consumer market baske...
EMS
2008
IEEE
14 years 3 months ago
2008
IEEE
Association rule mining (ARM) identifies frequent itemsets from databases and generates association rules by assuming that all items have the same significance and frequency of oc...