A survey of genetic feature selection in mining issues
MJ Martin-Bautista, MA Vila - Proceedings of the 1999 …, 1999 - ieeexplore.ieee.org
Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 …, 1999•ieeexplore.ieee.org
In this paper, we review the feature selection problem in mining issues. The application of
soft computing techniques to data mining and knowledge discovery is now emerging in
order to enhance the effectiveness of the traditional classification methods coming from
machine learning. A survey of the approaches presented in the literature to select relevant
features by using genetic algorithms is given. The different values of the genetic parameters
utilized as well as the fitness functions are compared. A more detailed review of the …
soft computing techniques to data mining and knowledge discovery is now emerging in
order to enhance the effectiveness of the traditional classification methods coming from
machine learning. A survey of the approaches presented in the literature to select relevant
features by using genetic algorithms is given. The different values of the genetic parameters
utilized as well as the fitness functions are compared. A more detailed review of the …
In this paper, we review the feature selection problem in mining issues. The application of soft computing techniques to data mining and knowledge discovery is now emerging in order to enhance the effectiveness of the traditional classification methods coming from machine learning. A survey of the approaches presented in the literature to select relevant features by using genetic algorithms is given. The different values of the genetic parameters utilized as well as the fitness functions are compared. A more detailed review of the proposals in the mining fields of databases, text and the Web is also given.
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