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» Discovering Frequent Closed Itemsets for Association Rules
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EMS
2008
IEEE
14 years 2 months ago
A Weighted Utility Framework for Mining Association Rules
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...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
ICDE
1998
IEEE
103views Database» more  ICDE 1998»
14 years 9 months ago
Online Generation of Association Rules
We have a large database consisting of sales transactions. We investigate the problem of online mining of association rules in this large database. We show how to preprocess the d...
Charu C. Aggarwal, Philip S. Yu
FEGC
2008
104views Biometrics» more  FEGC 2008»
13 years 9 months ago
Mining Implications from Lattices of Closed Trees
We propose a way of extracting high-confidence association rules from datasets consisting of unlabeled trees. The antecedents are obtained through a computation akin to a hypergrap...
José L. Balcázar, Albert Bifet, Anto...
BIBM
2007
IEEE
171views Bioinformatics» more  BIBM 2007»
14 years 2 months ago
GenMiner: Mining Informative Association Rules from Genomic Data
GENMINER is a smart adaptation of closed itemsets based association rules extraction to genomic data. It takes advantage of the novel NORDI discretization method and of the CLOSE ...
Ricardo Martínez, Claude Pasquier, Nicolas ...
SYRCODIS
2007
99views Database» more  SYRCODIS 2007»
13 years 8 months ago
Association Rules Discovery in Multivariate Time Series
A problem of association rules discovery in a multivariate time series is considered in this paper. A method for finding interpretable association rules between frequent qualitati...
Elena Lutsiv