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» Data Mining for Genetics: A Genetic Algorithm Approach
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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
14 years 2 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
ICTAI
2007
IEEE
14 years 3 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
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...
ISAMI
2010
13 years 7 months ago
A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups
It is widely agreed that complex diseases are typically caused by the joint effects of multiple instead of a single genetic variation. These genetic variations may show very little...
Orlando Anunciação, Bruno C. Gomes, ...
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
14 years 2 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...