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

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

doi:10.1007/978-3-642-22194-1_80

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

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (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 language	English
Title of host publication	Intelligent Decision Technologies - Proceedings of the 3rd International Conference on Intelligent Decision Technologies, IDT'2011
Pages	809-819
Number of pages	11
Volume	10 SIST
DOIs	https://doi.org/10.1007/978-3-642-22194-1_80
Publication status	Published - 01-12-2011
Event	3rd International Conference on Intelligent Decision Technologies, IDT'2011 - Piraeus, Greece Duration: 20-07-2011 → 22-07-2011

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	10 SIST
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	3rd International Conference on Intelligent Decision Technologies, IDT'2011
Country/Territory	Greece
City	Piraeus
Period	20-07-11 → 22-07-11

All Science Journal Classification (ASJC) codes

General Decision Sciences
General Computer Science

Access to Document

10.1007/978-3-642-22194-1_80

Cite this

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). (Smart Innovation, Systems and Technologies; Vol. 10 SIST). https://doi.org/10.1007/978-3-642-22194-1_80

@inproceedings{dc3196caefcc47f88bf5e31e7db5044b,

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

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.",

author = "Kolekar, \{Sucheta V.\} and Sanjeevi, \{Sriram G.\} and Bormane, \{D. S.\}",

year = "2011",

month = dec,

day = "1",

doi = "10.1007/978-3-642-22194-1\_80",

language = "English",

isbn = "9783642221934",

volume = "10 SIST",

series = "Smart Innovation, Systems and Technologies",

pages = "809--819",

booktitle = "Intelligent Decision Technologies - Proceedings of the 3rd International Conference on Intelligent Decision Technologies, IDT'2011",

note = "3rd International Conference on Intelligent Decision Technologies, IDT'2011 ; Conference date: 20-07-2011 Through 22-07-2011",

}

Kolekar, SV, Sanjeevi, SG & Bormane, DS 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, Smart Innovation, Systems and Technologies, vol. 10 SIST, pp. 809-819, 3rd International Conference on Intelligent Decision Technologies, IDT'2011, Piraeus, Greece, 20-07-11. https://doi.org/10.1007/978-3-642-22194-1_80

Acquisition of user's learning styles using log mining analysis through Web Usage Mining process. / Kolekar, Sucheta V.; Sanjeevi, Sriram G.; Bormane, D. S.
Intelligent Decision Technologies - Proceedings of the 3rd International Conference on Intelligent Decision Technologies, IDT'2011. Vol. 10 SIST 2011. p. 809-819 (Smart Innovation, Systems and Technologies; Vol. 10 SIST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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Kolekar SV, Sanjeevi SG, Bormane DS. 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. 2011. p. 809-819. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-3-642-22194-1_80

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

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All Science Journal Classification (ASJC) codes

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