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» Noise Modeling with Associative Corruption Rules
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ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
13 years 11 months ago
Noise Modeling with Associative Corruption Rules
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
Yan Zhang, Xindong Wu
ICONIP
2007
13 years 6 months ago
Analysis on Bidirectional Associative Memories with Multiplicative Weight Noise
Abstract. In neural networks, network faults can be exhibited in different forms, such as node fault and weight fault. One kind of weight faults is due to the hardware or software ...
Chi-Sing Leung, Pui-Fai Sum, Tien-Tsin Wong
SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
13 years 6 months ago
RBA: An Integrated Framework for Regression based on Association Rules
This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
13 years 10 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer
NCA
2011
IEEE
13 years 1 days ago
The effect of weight fault on associative networks
In the past three decades, the properties of associative networks has been extensively investigated. However, most existing results focus on the fault-free networks only. In implem...
Andrew Chi-Sing Leung, Pui-Fai Sum, Kevin Ho