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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Ant Based Data Reduction In Web Usage Mining Using K-means Clustering Algorithm
Authors Name: Kajal Mengar , Lokesh Gagnani , Dushyantsinh Rathod
Unique Id: IJSDR1610046
Published In: Volume 1 Issue 10, October-2016
Abstract: Data reduction is the process of minimizing the amount of data that needs to be stored in a data storage environment. Data reduction can increase storage efficiency and reduce costs. Data cleaning perform in the Data Preprocessing and Web Usage Mining. The work on data cleaning of web server logs, irrelevant items and useless data can not completely removed and Overlapped data causes difficulty during data retrieving from database. In this paper, we introduce Ant Based Pattern Clustering Algorithm to get pattern data for mining .It also presents Log Cleaner that can filter out much irrelevant ,inconsistent data based on the common of their URLs.
Keywords: Data Mining, Clustering, Data Reduction, Ant based clustering, Web usage Mining.
Cite Article: "Ant Based Data Reduction In Web Usage Mining Using K-means Clustering Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 10, page no.270 - 274, October-2016, Available :http://www.ijsdr.org/papers/IJSDR1610046.pdf
Downloads: 000101745
Publication Details: Published Paper ID: IJSDR1610046
Registration ID:160909
Published In: Volume 1 Issue 10, October-2016
DOI (Digital Object Identifier):
Page No: 270 - 274
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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