Comparison of Feature Selection Techniques in Knowledge Discovery Process
Comparison of Feature Selection Techniques in Knowledge Discovery Process
Author(s): Dijana Oreški, Tomislav NovoselSubject(s): Electronic information storage and retrieval, Education and training
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Data mining; feature selection; classification accuracy; big data
Summary/Abstract: 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.
Journal: TEM Journal
- Issue Year: 3/2014
- Issue No: 4
- Page Range: 285-290
- Page Count: 6
- Language: English