739 search results - page 89 / 148 » Approximate Association Rule Mining |
ICDM
2010
IEEE
13 years 8 months ago
2010
IEEE
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
IISWC
2006
IEEE
14 years 4 months ago
2006
IEEE
Abstract— Data mining constitutes an important class of scientific and commercial applications. Recent advances in data extraction techniques have created vast data sets, which ...
KDD
2008
ACM
14 years 10 months ago
2008
ACM
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
CLIMA
2004
13 years 11 months ago
2004
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
KDD
2006
ACM
14 years 10 months ago
2006
ACM
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...