91 search results - page 10 / 19 » Mining frequent item sets by opportunistic projection |
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper we consider the problem of discovering frequent temporal patterns in a database of temporal sequences, where a temporal sequence is a set of items with associated da...
PODS
2009
ACM
14 years 8 months ago
2009
ACM
As advances in technology allow for the collection, storage, and analysis of vast amounts of data, the task of screening and assessing the significance of discovered patterns is b...
DAWAK
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. The new type of patterns: sequential patterns with the negative conclusions is proposed in the paper. They denote that a certain set of items does not occur after a regul...
JIIS
2000
13 years 7 months ago
2000
Knowledge discovery from data sets can be extensively automated by using data mining software tools. Techniques for mining series of interval events, however, have not been conside...
EMS
2008
IEEE
14 years 2 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...