NDLI: On the study of GRBF and polynomial kernel based support vector machine in web logs

Content Provider	IEEE Xplore Digital Library
Author	Sahoo, P. Behera, A.K. Pandia, M.K. Dash, C.S.K. Dehuri, S.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci., Silicon Inst. of Technol., Bhubaneswar, India (Sahoo, P.; Behera, A.K.; Pandia, M.K.; Dash, C.S.K.) \|\| Dept. of Syst. Eng., Ajou Univ., Suwon, South Korea (Dehuri, S.)
Abstract	World Wide Web continues to grow day-by-day and it is difficult to track and understand users' need for the owners of a website. Therefore, an intelligent analyzer is required to find out the browsing patterns of a user. Moreover, the pattern which is revealed from this surge of web access logs must be useful, motivating, and logical. In this paper, two different kernel functions of support vector machine (SVM) are used to classify the web pages based on access time and region. Additionally, kernel parameters are also varied to study the trends of the accuracy of classification. Experimental results reveal that Gaussian radial basis function (GRBF) kernel based S VM is performing better than the polynomial kernel based SVM.
Sponsorship	IEEE Kolkata Sect.
Starting Page	1
Ending Page	5
File Size	665867
Page Count	5
File Format	PDF
ISBN	9781467352499
e-ISBN	9781467352505
DOI	10.1109/ICETACS.2013.6691384
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-13
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Accuracy Radial basis functions Web log Web pages Classification World wide web Polynomials Support vector machine Data mining Kernel
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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