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GRC
2010
IEEE
14 years 8 months ago
Genetic-Fuzzy Data Mining Techniques
This paper surveys some genetic-fuzzy data mining techniques for mining both membership functions and fuzzy association rules. The motivation from crisp mining to fuzzy mining wil...
Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng
TEC
2008
104views more  TEC 2008»
14 years 10 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-...
IJAR
2010
153views more  IJAR 2010»
14 years 9 months ago
Diagnosis of dyslexia with low quality data with genetic fuzzy systems
For diagnosing dyslexia in early childhood, children have to solve non-writing based, graphical tests. Curently, these tests are processed by a human expert; applying artificial ...
Ana M. Palacios, Luciano Sánchez, Iné...
APIN
1999
143views more  APIN 1999»
14 years 10 months ago
Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques
Real-world electrical engineering problems can take advantage of the last Data Analysis methodologies. In this paper we will show that Genetic Fuzzy Rule-Based Systems and Genetic ...
Oscar Cordón, Francisco Herrera, Luciano S&...
PAKDD
2005
ACM
102views Data Mining» more  PAKDD 2005»
15 years 4 months ago
A Recent-Biased Dimension Reduction Technique for Time Series Data
Yanchang Zhao, Chengqi Zhang, Shichao Zhang