502 search results - page 66 / 101 » Mining Supplemental Frequent Patterns |
TIME
2008
IEEE
14 years 4 months ago
2008
IEEE
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
FLAIRS
2003
13 years 11 months ago
2003
Association mining explores algorithms capable of detecting frequently co-occurring items in transactions. A transaction can be identified with a market basket—a list of items ...
DASFAA
2010
IEEE
13 years 10 months ago
2010
IEEE
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
KDD
2007
ACM
14 years 4 months ago
2007
ACM
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
KDD
2010
ACM
14 years 1 months ago
2010
ACM
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...