Exploring The Frequent Symptoms And Predict Learning Disability By Increasing The Classifier Accuracy Using Machine Learning Approach

P. Saraswathi; Dr. N. Nagadeepa

Volume 4, Issue 3 (March 2018)

Exploring The Frequent Symptoms And Predict Learning Disability By Increasing The Classifier Accuracy Using Machine Learning Approach

Impact Factor

7.883

Call For Paper

Volume 12 Issue 07

July 2026

Download Paper Format

Copyright Form

Under License Of

Creative Commons Attribution-NonCommercial
4.0 International License

Share on:

Author(s)

P. Saraswathi Dr. N. Nagadeepa

Abstract

Learning Disability Is One Of The Most Important Crises For School Going Children. It Impairs The Skill To Carry Out The Learning Process. Identifying Learning Disability And Interference At The Accurate Time Is Vital For The Growth Of A Child. This Pape

Keywords

Classifier LD Tool Association Rules M-apriori Algorithm Learning Disability.

Paper ID

IJSARTV4I322013

Publication Date

March 27, 2018

Research Area

Computer Science

Download Full Article

Exploring The Frequent Symptoms And Predict Learning Disability By Increasing The Classifier Accuracy Using Machine Learning Approach

Impact Factor

Call For Paper

Volume 12 Issue 07

Download Paper Format

Copyright Form

Under License Of

Author(s)

Abstract

Keywords

Paper ID

Publication Date

Research Area

Submit Your Paper to IJSART

ISSN Number