engleski

Comparison of Feature Selection Techniques in Knowledge Discovery Process

The process of knowledge discovery in data consists of five steps. Data preparation, which includes data cleaning and feature selection, takes away from 60% to 95% total time of the whole process. Thus, it is crucial phase of the process. The purpose of this research is to investigate feature selection techniques performance by conducting empirical research. Our comparison of three feature selection techniques reveals significant difference in feature selection techniques performance.

Data mining; Feature selection; Classification accuracy; Big data.

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