Feature Selection Algorithm for Multiple Classifier Systems: A Hybrid Approach
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Feature Selection Algorithm for Multiple Classifier Systems: A Hybrid Approach
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The area of data mining and knowledge discovery is inherently associated with databases. Data mining methods are used in the process of knowledge discovery to reveal new pieces of knowledge from large databases. One of the stages in that process is a feature selection. A feature selection is usually meant as a process of finding a subset of features from the original set of features forming patterns in a given data set, optimal according to the defined goal and criterion of feature selection.