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» Application of Fuzzy Rule Induction to Data Mining
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WISE
2010
Springer
13 years 6 months ago
Neighborhood-Restricted Mining and Weighted Application of Association Rules for Recommenders
Abstract. Association rule mining algorithms such as Apriori were originally developed to automatically detect patterns in sales transactions and were later on also successfully ap...
Fatih Gedikli, Dietmar Jannach
FUZZIEEE
2007
IEEE
14 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...
PKDD
2004
Springer
90views Data Mining» more  PKDD 2004»
14 years 2 months ago
Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering
The more sophisticated fuzzy clustering algorithms, like the Gustafson–Kessel algorithm [11] and the fuzzy maximum likelihood estimation (FMLE) algorithm [10] offer the possibil...
Christian Borgelt, Rudolf Kruse
JMLR
2006
131views more  JMLR 2006»
13 years 8 months ago
On Representing and Generating Kernels by Fuzzy Equivalence Relations
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
Bernhard Moser
DEXA
2006
Springer
102views Database» more  DEXA 2006»
14 years 14 days ago
Mining RDF Metadata for Generalized Association Rules
In this paper, we present a novel frequent generalized pattern mining algorithm, called GP-Close, for mining generalized associations from RDF metadata. To solve the overgeneraliz...
Tao Jiang, Ah-Hwee Tan