Web Usage Mining: A Survey on Extracting Knowledge through Web Logs
Bindi Desai
, Ramesh Prajapati , Dr . Samrat Khanna
data mining, Web usage mining, WUM, Web log mining
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
"Web Usage Mining: A Survey on Extracting Knowledge through Web Logs", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 5, page no.468 - 472, May-2016, Available :https://ijsdr.org/papers/IJSDR1605091.pdf
Volume 1
Issue 5,
May-2016
Pages : 468 - 472
Paper Reg. ID: IJSDR_160375
Published Paper Id: IJSDR1605091
Downloads: 000347052
Research Area: Engineering
Country: Gandevi, Gujarat, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
