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» Mining Fuzzy Weighted Association Rules
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CLA
2004
14 years 11 months ago
Emulating a Cooperative Behavior in a Generic Association Rule Visualization Tool
Traditional framework for mining association rules has pointed out the derivation of many redundant rules. In order to be reliable in a decision making process, such discovered rul...
I. Nsir, Sadok Ben Yahia, Engelbert Mephu Nguifo
ADC
2003
Springer
118views Database» more  ADC 2003»
15 years 2 months ago
CrystalBall : A Framework for Mining Variants of Association Rules
The mining of informative rules calls for methods that include different attributes (e.g., weights, quantities, multipleconcepts) suitable for the context of the problem to be an...
Kok-Leong Ong, Wee Keong Ng, Ee-Peng Lim
RSFDGRC
2007
Springer
236views Data Mining» more  RSFDGRC 2007»
15 years 3 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...
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-...
FUZZIEEE
2007
IEEE
15 years 3 months ago
A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports
—In the past, we proposed a genetic-fuzzy data-mining algorithm for extracting both association rules and membership functions from quantitative transactions under a single minim...
Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, C...