Feature Selection Using Multi Swarm Optimization Empowered by Classification in Medical Dataset

6 Pages Posted: 19 Mar 2018

See all articles by S. R. Vairavaprakash

S. R. Vairavaprakash

Sona College of Technology, Students

K Santhosh

Sona College of Technology, Students

S Srinivasan

Sona College of Technology, Students

Lydia D. Issac

Sona College of Technology

Date Written: November 15, 2017

Abstract

Feature selection is a technique by which the number of features in the dataset is reduced to a minimal amount to do the classification in effective manner. Without feature selection classification uses all the attributes which increases the time complexity and decreases efficiency. In the medical dataset there are large number of attributes to classify the diseases so the feature selection can be used here to classify the data efficiently. The multi swarm optimization technique is used for the feature selection process and wrap it up with the classification algorithm and propose a hybrid algorithm for the effective classification process. MSO yields same or better effectiveness (solution quality) than other optimization techniques such as Genetic Algorithms, and Ant Colony Optimization by using less number of function evaluations.This paper, focus towards the mechanism of using multi-swarm optimization empowered by classification in medical dataset to improve the performance and efficiency, measures such as accuracy and precision rate.

Keywords: Datamining, Feature Selection, Classification, Swarm Optimization

Suggested Citation

Vairavaprakash, S. R. and Santhosh, K and Srinivasan, S and Issac, Lydia D., Feature Selection Using Multi Swarm Optimization Empowered by Classification in Medical Dataset (November 15, 2017). Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017 – Dec 15th - 16th 2017) organized by Sona College of Technology, Salem, Tamilnadu, India, Available at SSRN: https://ssrn.com/abstract=3141061 or http://dx.doi.org/10.2139/ssrn.3141061

S. R. Vairavaprakash

Sona College of Technology, Students ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

K Santhosh

Sona College of Technology, Students ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

S Srinivasan

Sona College of Technology, Students ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

Lydia D. Issac (Contact Author)

Sona College of Technology ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

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