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APIN
2006
168views more  APIN 2006»
15 years 3 months ago
Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining
It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...
Mehmet Kaya, Reda Alhajj
CIKM
2008
Springer
15 years 4 months ago
Translation enhancement: a new relevance feedback method for cross-language information retrieval
As an effective technique for improving retrieval effectiveness, relevance feedback (RF) has been widely studied in both monolingual and cross-language information retrieval (CLIR...
Daqing He, Dan Wu
CP
2004
Springer
15 years 6 months ago
ID Walk: A Candidate List Strategy with a Simple Diversification Device
This paper presents a new optimization metaheuristic called ID Walk (Intensification/Diversification Walk) that offers advantages for combining simplicity with effectiveness. In ad...
Bertrand Neveu, Gilles Trombettoni, Fred Glover
132
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EVOW
2005
Springer
15 years 8 months ago
Convergence Synthesis of Dynamic Frequency Modulation Tones Using an Evolution Strategy
This paper reports on steps that have been taken to enhance previously presented evolutionary sound matching work. In doing so, the convergence characteristics are shown to provide...
Thomas J. Mitchell, Anthony G. Pipe
FUZZIEEE
2007
IEEE
15 years 9 months ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— 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 da...
Rafael Alcalá, Jesús Alcalá-F...