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A Cluster-Based Genetic-Fuzzy Mining Approach for Items ...
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由 CH Chen 著作2008被引用 7 次 — Abstract. In the past, we proposed an algorithm for extracting appropriate multiple minimum support values, membership functions and fuzzy association rules ...
A Genetic-Fuzzy Mining Approach for Items with Multiple ...
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由 CH Chen 著作被引用 43 次 — In this paper, we thus propose an algorithm which combines clustering, fuzzy and genetic concepts for extracting reasonable multiple minimum support values, ...
A Cluster-Based Genetic-Fuzzy Mining Approach for Items ...
ResearchGate
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In this paper, we proposed a comprehensive and fast algorithm based on the IFG approach that discovers levelcrossing fuzzy association rules on multiple concept ...
A Cluster-Based Genetic-Fuzzy Mining Approach for Items ...
Springer
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Springer
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由 CH Chen 著作2008被引用 7 次 — In this paper, the clustering technique is thus used to reduce the execution time in solving the MSFM problem. An enhanced approach, called the cluster-based ...
A Cluster-Based Divide-and-Conquer Genetic-Fuzzy Mining ...
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In this paper, an enhanced efficient approach for speeding up the evolution process for finding minimum supports, membership functions and fuzzy association ...
A genetic-fuzzy mining approach for items with multiple minimum ...
Academia.edu
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In this paper, an enhanced approach, called the fuzzy clusterbased genetic-fuzzy mining approach for items with multiple minimum supports (FCGFMMS), is thus ...
Genetic-fuzzy mining with multiple minimum supports based ...
ACM Digital Library
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ACM Digital Library
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由 CH Chen 著作2011被引用 10 次 — It divides the chromosomes in a population into several clusters by the fuzzy k-means clustering approach and evaluates each individual according to both their ...
A Genetic-Fuzzy Mining Approach for Items with Multiple ...
ResearchGate
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They integrated the master-slave technique with the clustering technique in evaluating the possible solutions of an evolutionary process to reduce the ...
A Cluster-Based Divide-and-Conquer Genetic-Fuzzy ...
IEEE Computer Society
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由 CH Chen 著作2010 — In this paper, an enhanced efficient approach for speeding up the evolution process for finding minimum supports, membership functions and fuzzy association ...
Speeding up genetic-fuzzy mining by fuzzy clustering
IEEE Xplore
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由 CH Chen 著作2009被引用 8 次 — It divides the chromosomes in a population into several clusters by the fuzzy k-means clustering approach and evaluates each individual according to both their ...