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Comparative Study on the Feature Selection Techniques for Autism Spectrum Disorder

S. Padmapriya1 , S. Murugan2

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-02 , Page no. 147-154, Mar-2018

Online published on Mar 31, 2018

Copyright © S. Padmapriya, S. Murugan . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S. Padmapriya, S. Murugan, “Comparative Study on the Feature Selection Techniques for Autism Spectrum Disorder,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.02, pp.147-154, 2018.

MLA Style Citation: S. Padmapriya, S. Murugan "Comparative Study on the Feature Selection Techniques for Autism Spectrum Disorder." International Journal of Computer Sciences and Engineering 06.02 (2018): 147-154.

APA Style Citation: S. Padmapriya, S. Murugan, (2018). Comparative Study on the Feature Selection Techniques for Autism Spectrum Disorder. International Journal of Computer Sciences and Engineering, 06(02), 147-154.

BibTex Style Citation:
@article{Padmapriya_2018,
author = {S. Padmapriya, S. Murugan},
title = {Comparative Study on the Feature Selection Techniques for Autism Spectrum Disorder},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2018},
volume = {06},
Issue = {02},
month = {3},
year = {2018},
issn = {2347-2693},
pages = {147-154},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=222},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=222
TI - Comparative Study on the Feature Selection Techniques for Autism Spectrum Disorder
T2 - International Journal of Computer Sciences and Engineering
AU - S. Padmapriya, S. Murugan
PY - 2018
DA - 2018/03/31
PB - IJCSE, Indore, INDIA
SP - 147-154
IS - 02
VL - 06
SN - 2347-2693
ER -

           

Abstract

There is a burgeoning need to consider new ways of providing early education services for young and often newly diagnosed children with Autism Spectrum Disorder (ASD) and their families. Such children do not respond naturally to direct curricular delivery, typically utilized in inclusive classrooms that predominate public education, but instead, need an educational model incorporating intra and interpersonal development skills. Also, there is an essential need for the facility to keep track of and addressing uneven progress in specific areas; characteristic of learners with ASD. In this paper, ranking feature selection techniques like Information Gain, Chi-Square, Gain Ratio, ReliefF are used for pre-processing the ASD dataset.

Key-Words / Index Term

Autism Spectrum Disorder

References

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