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» Ontology-Enhanced Association Mining
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VLDB
2007
ACM
111views Database» more  VLDB 2007»
14 years 4 months ago
Security in Outsourcing of Association Rule Mining
Outsourcing association rule mining to an outside service provider brings several important benefits to the data owner. These include (i) relief from the high mining cost, (ii) m...
Wai Kit Wong, David W. Cheung, Edward Hung, Ben Ka...
ICDE
2006
IEEE
130views Database» more  ICDE 2006»
14 years 11 months ago
MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining
We propose a framework, called MIC, which adopts an information-theoretic approach to address the problem of quantitative association rule mining. In our MIC framework, we first d...
Yiping Ke, James Cheng, Wilfred Ng
PKDD
2007
Springer
112views Data Mining» more  PKDD 2007»
14 years 4 months ago
Association Mining in Large Databases: A Re-examination of Its Measures
Abstract. In the literature of data mining and statistics, numerous interestingness measures have been proposed to disclose succinct object relationships of association patterns. H...
Tianyi Wu, Yuguo Chen, Jiawei Han
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 10 months ago
A Model-Based Frequency Constraint for Mining Associations from Transaction Data
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...
Michael Hahsler
ICDM
2003
IEEE
127views Data Mining» more  ICDM 2003»
14 years 3 months ago
A High-Performance Distributed Algorithm for Mining Association Rules
Abstract. We present a new distributed association rule mining (D-ARM) algorithm that demonstrates superlinear speed-up with the number of computing nodes. The algorithm is the fi...
Assaf Schuster, Ran Wolff, Dan Trock