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Parham Moradi

Parham Moradi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 654
Faculty: Faculty of Engineering
Address: Department of Computer Engineering, Faculty of Engineering, University of Kurdistan
Phone:

Research

Title
An Evolutionary Based Multi-Objective Filter Approach for Feature Selection
Type
Presentation
Keywords
multi-objective optimization, mutual information, feature selection, dimensionality reduction
Year
2017
Researchers Xinghuo Yu ، Mahdi Jalili ، Parham Moradi ، Mahdieh Labani

Abstract

Feature selection is one of the important research areas in pattern recognition. The aim of feature selection is to select those of informative features to improve the classifier's performance. In this paper, we propose a novel multi-objective algorithm based on mutual information for feature selection, called multi-objective mutual information (MOMI). The proposed method identifies a set of features with minimal redundancy and maximum relevancy with the target class. Several experiments are performed to evaluate the performance of MOMI compared to that of well-known and state-of-the-art feature selection methods over five benchmark datasets. The results show that in most cases MOMI achieves better classification performance than others.