JSAI2018

Presentation information

Oral presentation

General Session » [General Session] 8. Soft Computing

[3E2] [General Session] 8. Soft Computing

Thu. Jun 7, 2018 3:50 PM - 5:50 PM Room E (4F Queen)

座長:松井 藤五郎(中部大学)

4:50 PM - 5:10 PM

[3E2-04] Proposal a new feature evaluation measure for filter type feature subset selection with Evolutionary Algorithm

〇Atsushi Kawamura1, Basabi Chakuraborty2 (1. Iwate Prefecture University Graduate School, 2. Iwate Prefecture University)

Keywords:Feature Selection, Evolutionary Computing

Feature Selection is an important preprocessing step for pattern recognition and data mining problems. This process selects necessary features and removes redundant features. In this work, we propose a new fitness function for feature subset evaluation. The proposed new fitness function is used for feature subset selection with EC algorithms. Simulation experiments using the benchmark datasets have been done and the results are compared with popular methods.