Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
A Feature Selection Framework for Text Filtering
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Genetic Programming for Feature Subset Ranking in Binary Classification Problems
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
Improving relevance measures using genetic programming
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
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While most feature selection algorithms focus on finding relevant features, few take the redundancy issue into account. We propose a nonlinear redundancy measure which uses genetic programming to find the redundancy quotient of a feature with respect to a subset of features. The proposed measure is unsupervised and works with unlabeled data. We introduce a forward selection algorithm which can be used along with the proposed measure to perform feature selection over the output of a feature ranking algorithm. The effectiveness of the proposed method is assessed by applying it to the output of the Chi-square (*** 2) feature ranker on a classification task. The results show significant improvements in the performance of decision tree and SVM classifiers.