284 search results - page 8 / 57 » Mining Frequent Itemsets in Distributed and Dynamic Database... |
KDD
2004
ACM
15 years 10 months ago
2004
ACM
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
167
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ISMIS
2011
Springer
14 years 16 days ago
2011
Springer
Abstract. Frequent itemset mining can be regarded as advanced database querying where a user specifies the dataset to be mined and constraints to be satisfied by the discovered i...
DIS
2007
Springer
15 years 1 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...
PPOPP
2005
ACM
15 years 3 months ago
2005
ACM
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
79
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APPINF
2003
14 years 11 months ago
2003
Discovering association rules by identifying relationships among sets of items in a transaction database is an important problem in Data Mining. Finding frequent itemsets is compu...