UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRC006295


Registration ID:
184593

Page Number

1698-1702

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Title

DATA PRE-PROCESSING - PRIMARY PHASE OF WUM

Abstract

Web has been increasing as a prevailing platform for retrieving information and discovering knowledge from web data. Web data is stored in web server log files. Web usage mining is the process of extracting useful knowledge from web server logs in order to analyze web user’s behavior. Web usage analysis requires data abstraction for pattern discovery. This data abstraction can be achieved through data preprocessing. This paper presents how web server log data is preprocesses for web usage analysis.

Key Words

Web Mining, Web Usage Mining (WUM), Web Server Log File, Data Pre-Processing, Pattern discovery, Pattern analysis.

Cite This Article

"DATA PRE-PROCESSING - PRIMARY PHASE OF WUM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.1698-1702, July-2018, Available :http://www.jetir.org/papers/JETIRC006295.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"DATA PRE-PROCESSING - PRIMARY PHASE OF WUM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp1698-1702, July-2018, Available at : http://www.jetir.org/papers/JETIRC006295.pdf

Publication Details

Published Paper ID: JETIRC006295
Registration ID: 184593
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 1698-1702
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162


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