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

Department of Information and Communication Technology, Manipal Institute of Technology, Manipal

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

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

Decision Sciences(all)
Computer Science(all)

Access to Document

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

Cite this

@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",

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, 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.

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

TY - GEN

T1 - Acquisition of user's learning styles using log mining analysis through Web Usage Mining process

AU - Kolekar, Sucheta V.

AU - Sanjeevi, Sriram G.

AU - Bormane, D. S.

PY - 2011/12/1

Y1 - 2011/12/1

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=84866324468&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84866324468&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-22194-1_80

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

M3 - Conference contribution

AN - SCOPUS:84866324468

SN - 9783642221934

VL - 10 SIST

SP - 809

EP - 819

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

T2 - 3rd International Conference on Intelligent Decision Technologies, IDT'2011

Y2 - 20 July 2011 through 22 July 2011

ER -

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

Abstract

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this