A Study on Autism Spectrum Disorders using Classification Techniques
M. S. Mythili1, A. R. Mohamed Shanavas2
1M. S. Mythili, Ph.D Research Scholar, Asst. Prof., Department of Computer Applications, Bishop Heber College, Bharathidasan University, Tiruchirappalli, TamilNadu, India.
2Dr. A. R.Mohamed Shanavas, Assoc. Prof., Department of Computer Science, Jamal Mohamed College, Tiruchirappalli, Tamil Nadu, India.

Manuscript received on November 02, 2014. | Revised Manuscript received on November 04, 2014. | Manuscript published on November 05, 2014. | PP: 88-91 | Volume-4 Issue-5, November 2014. | Retrieval Number: E2433114514/2014©BEIESPq
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In recent years, the academic establishments has undertaken variety of initiatives to support school boards, college authorities, special schools and colleges in teaching students with Autism Spectrum disorders(ASD). Autism Spectrum Disorders (ASD) are complex neurological disorders that have a lifelong effect on the event of assorted talents and skills. The foremost vital goal of the paper is to review the autism problem, to detect the levels of autism with the help of data mining classification algorithms. The data mining has been typically accepted as a decision making process to facilitate higher resource utilization in terms of autism students’ performance.
Keywords: Autism Spectrum Disorders, data mining