Prediction of Key Symptoms of Learning Disabilities in School-Age Children Using Rough Sets

Dyuthi/Manakin Repository

Prediction of Key Symptoms of Learning Disabilities in School-Age Children Using Rough Sets

Show simple item record

dc.contributor.author Kannan, Balakrishnan
dc.contributor.author Julie, David M
dc.date.accessioned 2014-07-22T05:30:41Z
dc.date.available 2014-07-22T05:30:41Z
dc.date.issued 2011-02
dc.identifier.uri http://dyuthi.cusat.ac.in/purl/4194
dc.description International Journal of Computer and Electrical Engineering, Vol.3, No.1, February, 2011 1793-8163 en_US
dc.description.abstract This paper highlights the prediction of learning disabilities (LD) in school-age children using rough set theory (RST) with an emphasis on application of data mining. In rough sets, data analysis start from a data table called an information system, which contains data about objects of interest, characterized in terms of attributes. These attributes consist of the properties of learning disabilities. By finding the relationship between these attributes, the redundant attributes can be eliminated and core attributes determined. Also, rule mining is performed in rough sets using the algorithm LEM1. The prediction of LD is accurately done by using Rosetta, the rough set tool kit for analysis of data. The result obtained from this study is compared with the output of a similar study conducted by us using Support Vector Machine (SVM) with Sequential Minimal Optimisation (SMO) algorithm. It is found that, using the concepts of reduct and global covering, we can easily predict the learning disabilities in children en_US
dc.description.sponsorship Cochin University of Science & Technology en_US
dc.language.iso en en_US
dc.publisher IACSIT en_US
dc.subject Global Covering en_US
dc.subject Indiscernibility Relation en_US
dc.subject Learning Disability en_US
dc.subject Reduct and Core en_US
dc.title Prediction of Key Symptoms of Learning Disabilities in School-Age Children Using Rough Sets en_US
dc.type Article en_US


Files in this item

Files Size Format View Description
Prediction of K ... ldren Using Rough Sets.pdf 1.389Mb PDF View/Open pdf

This item appears in the following Collection(s)

Show simple item record

Search Dyuthi


Advanced Search

Browse

My Account