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General Information
    • ISSN: 2010-3700 (Online)
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.

IJMLC 2012 Vol.2(5): 569-572 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.191

Personalization of e-Learning Services using Web Mining and Semantic Web

Sandesh Jain, Dhanander K. Jain, Harihar Bhojak, Ankit Bhilwar, and Mamatha J.
Abstract—The e-Learning has become matured learning paradigm with the advent of web based learning and content management tools, and shifted the focus of entire world from instructor centric learning paradigm to learner centric approach. Now for making the learning process more streamlined and standardized, the implementing agencies are emphasizing on moving towards service oriented architectural design approach to create, deploy and manage reusable e-Learning services, thus benefiting education sector. For providing the intelligence to evaluation system and other e-Learning services, various domains like data mining, web mining, semantic web etc. can be utilized intelligently. In this paper, we will describe an approach aiming to achieve personalization in e-Learning services using web mining and semantic web.

Index Terms—Semantic web, web mining, service oriented architecture (SOA), learning object (LO), knowledge space, knowledge domain.

Authors are with Center of Development of Advanced Computing, Hyderabad, India (e-mail: hariharb@cdac.in).


Cite:Sandesh Jain, Dhanander K. Jain, Harihar Bhojak, Ankit Bhilwar, and Mamatha J., "Personalization of e-Learning Services using Web Mining and Semantic Web," International Journal of Machine Learning and Computing vol.2, no. 5, pp. 569-572, 2012.

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