UGC Approved Journal no 63975(19)

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Published in:

Volume 8 Issue 5
May-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2105405


Registration ID:
309364

Page Number

d153-d157

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Title

Enhanced Clustering Approach for Web Usage Mining

Authors

Abstract

Data mining technology has been considered as important means for extracting patterns and trends from huge amount of information. So, this approach is essentially used to extract the unknown pattern from the large set of information for business and also for real time applications. data processing may be a computational intelligence discipline which has emerged as a effective tool for data analysis, new KDD and good higher cognitive process. The raw and unidentified data from the huge volume of dataset may be classified initially in an unsupervised fashion by using cluster analysis.Clustering technique is the process of grouping objects together by which similar objects are combined into one group and disimilar objects into other group. Clustering technique may be employed in many applications for instance biological, financial applications and many more. one of these application types is Web clustering where differing kinds of objects will be clustered into different groups for various purposes. This paper deals with the various aspects of Web data processing and provides a summary about the different techniques employed in this field.

Key Words

Clustering , Web usagemining ,Objects

Cite This Article

"Enhanced Clustering Approach for Web Usage Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.d153-d157, May-2021, Available :http://www.jetir.org/papers/JETIR2105405.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

"Enhanced Clustering Approach for Web Usage Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppd153-d157, May-2021, Available at : http://www.jetir.org/papers/JETIR2105405.pdf

Publication Details

Published Paper ID: JETIR2105405
Registration ID: 309364
Published In: Volume 8 | Issue 5 | Year May-2021
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.26998
Page No: d153-d157
Country: Hyderabad, Telengana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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