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RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
9 years 6 months ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
RSFDGRC
2007
Springer
236views Data Mining» more  RSFDGRC 2007»
9 years 7 months ago
Constructing Associative Classifier Using Rough Sets and Evidence Theory
Constructing accurate classifier based on association rule is an important and challenging task in data mining. In this paper, a novel combination strategy based on rough sets (RST...
Yuan-Chun Jiang, Ye-Zheng Liu, Xiao Liu, Jie-Kui Z...
ESWA
2007
105views more  ESWA 2007»
9 years 1 months ago
Applying rough sets to prevent customer complaints for IC packaging foundry
Packaging is classified as one of back-end processes in the integrated circuits (ICs) manufacturing, highly capital-intensive and involves complex processes. Unlike the front-end...
Hsu-Hao Yang, Tzu-Chiang Liu, Yen-Ting Lin
ICAC
2009
IEEE
9 years 8 months ago
Ranking the importance of alerts for problem determination in large computer systems
The complexity of large computer systems has raised unprecedented challenges for system management. In practice, operators often collect large volume of monitoring data from system...
Guofei Jiang, Haifeng Chen, Kenji Yoshihira, Akhil...
SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
9 years 2 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
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