ICSSCCET 2015

International Conference on Systems, Science, Control, Communication, Engineering and Technology 2015

 


ICSSCCET 2015 Kokula Krishna Hari K
Publication Meta Value
Short Title ICSSCCET 2015
Publisher ASDF, India
ISBN 13 978-81-929866-1-6
ISBN 10 81-929866-1-6
Language English
Type Hard Bound - Printed Book
Copyrights ICSSCCET Organizers / DCRC, London, UK
Editor-in-Chief Ramachandran T
Conference Dates 10 - 11, August 2015
Venue Country Karpagam Institute of Technology, Coimbatore, India
Submitted Papers 410
Acceptance Rate 4.11%
Website www.icssccet.org

Paper 008


An enhanced Rough Set Based Technique for Elucidating Learning styles in E-Learning System

An enhanced Rough Set Based Technique for Elucidating Learning styles in E-Learning System

K S Bhuvaneshwari1, D Bhanu2, S Sophia3

1Assistant Professor, Department of CSE, Karpagam College of Engineering, India
2Professor, Department of Computer Science and Engineering, Karpagam Institute of Technology, Coimbatore, India
3Professor, Department of ECE, Sri Krishna College Of Engineering and Technology, Coimbatore, India

Abstract

Rough set theory is considered as the most essential strategy significantly suitable for illustrating distinctive sorts of learning styles controlled by the learners during e-learning process through feature information selection. The Rough set hypothesis is likewise utilized for effectively finding relations with conflicting or fragmented information which is incomplete in nature. Be that as it may, when harsh set hypothesis is consolidated, they are not sufficiently effective to evaluate ideal subsets. Hence, this paper provides a comparison of various rough set based techniques for adapting learning styles. The paper provides the analysis of rough set based clustering methods in terms of two parameters cohesion and coupling. In addition, the paper also proposes an enhanced methodology based on normalized score value for finding the deviation between data’s through the equivalence property of rough set theory. The experimental results show that the proposed algorithm maximizes the stated metrics.

Author's Profile

K S Bhuvaneshwari : Profile

D Bhanu : Profile

S Sophia : Profile

Cite this Article as Follows

K S Bhuvaneshwari, D Bhanu, S Sophia."An enhanced Rough Set Based Technique for Elucidating Learning styles in E-Learning System." International Conference on Systems, Science, Control, Communication, Engineering and Technology (2015): 27-32. Print.