INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Web Usage Mining: A Survey on Extracting Knowledge through Web Logs
Authors Name:
Bindi Desai
, Ramesh Prajapati , Dr . Samrat Khanna
Unique Id:
IJSDR1605091
Published In:
Volume 1 Issue 5, May-2016
Abstract:
The growth of data available online and it’s users are increasing exponentially and creating complexity for users to discover knowledge on the web. To improve performance of website web site designer should modify website according to users preferences and interests. To achieve this user’s navigational behavior should be analyze which is captured in log files. First of all these log files are preprocessed and converted into suitable format for applying data mining techniques on it. Various DM techniques are apply on processed log files in order to get frequent access pattern of users of website. These patterns are analyzed and used extracted knowledge in website modification, system improvement, business intelligence, website personalization. In this paper, we provide detailed survey of work done so far on process of Web Usage Mining
Keywords:
data mining, Web usage mining, WUM, Web log mining
Cite Article:
"Web Usage Mining: A Survey on Extracting Knowledge through Web Logs", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 5, page no.468 - 472, May-2016, Available :http://www.ijsdr.org/papers/IJSDR1605091.pdf
Downloads:
000337071
Publication Details:
Published Paper ID: IJSDR1605091
Registration ID:160375
Published In: Volume 1 Issue 5, May-2016
DOI (Digital Object Identifier):
Page No: 468 - 472
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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