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» Association Rule Mining Algorithms for Set-Valued Data
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TEC
2008
104views more  TEC 2008»
14 years 9 months ago
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-...
IADIS
2008
14 years 11 months ago
Fuzzy Association Rule Reduction Using Clustering In Som Neural Network
The major drawback of fuzzy data mining is that after applying fuzzy data mining on the quantitative data, the number of extracted fuzzy association rules is very huge. When many ...
Marjan Kaedi, Mohammad Ali Nematbakhsh, Nasser Gha...
KDD
2005
ACM
85views Data Mining» more  KDD 2005»
15 years 10 months ago
A multiple tree algorithm for the efficient association of asteroid observations
Jeremy Kubica, Andrew W. Moore, Andrew Connolly, R...
ISMIS
2005
Springer
15 years 3 months ago
Mining and Filtering Multi-level Spatial Association Rules with ARES
In spatial data mining, a common task is the discovery of spatial association rules from spatial databases. We propose a distributed system, named ARES that takes advantage of the ...
Annalisa Appice, Margherita Berardi, Michelangelo ...
IEAAIE
2009
Springer
14 years 7 months ago
Hiding Predictive Association Rules on Horizontally Distributed Data
Abstract. In this work, we propose two approaches of hiding predictive association rules where the data sets are horizontally distributed and owned by collaborative but non-trustin...
Shyue-Liang Wang, Ting-Zheng Lai, Tzung-Pei Hong, ...