Acquisition of user's learning styles using log mining analysis through Web Usage Mining process

Sucheta V. Kolekar, Sriram G. Sanjeevi, D. S. Bormane

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Web Usage Mining is a broad area of Web Mining which is associated with the Patterns extraction from logging information produced by web server. Web log mining is substantially the important part of Web Usage Mining (WUM) algorithm which involves transformation and interpretation of the logging information to predict the patterns as per different learning styles. Ultimately these patterns are useful to classify various defined profiles. To provide personalized learning environment to the user with respect to Adaptive User Interface, Web Usage Mining is very essential and useful step to implement. In this paper we build the module of E-learning architecture based on Web Usage Mining to assess the User's behavior through web log analysis.

Original languageEnglish
Title of host publicationIntelligent Decision Technologies - Proceedings of the 3rd International Conference on Intelligent Decision Technologies, IDT'2011
Pages809-819
Number of pages11
Volume10 SIST
DOIs
Publication statusPublished - 01-12-2011
Event3rd International Conference on Intelligent Decision Technologies, IDT'2011 - Piraeus, Greece
Duration: 20-07-201122-07-2011

Conference

Conference3rd International Conference on Intelligent Decision Technologies, IDT'2011
CountryGreece
CityPiraeus
Period20-07-1122-07-11

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Computer Science(all)

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    Kolekar, S. V., Sanjeevi, S. G., & Bormane, D. S. (2011). Acquisition of user's learning styles using log mining analysis through Web Usage Mining process. In Intelligent Decision Technologies - Proceedings of the 3rd International Conference on Intelligent Decision Technologies, IDT'2011 (Vol. 10 SIST, pp. 809-819) https://doi.org/10.1007/978-3-642-22194-1_80