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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	Big Data Approach to Enhancing Quality of Web Application Contents
Authors Name:	Swapna Sahu , Mr Anuj kumar Pal
Unique Id:	IJSDR1707023
Published In:	Volume 2 Issue 7, July-2017
Abstract:	In this paper we propose a technique for selecting big data approach since it enhances the quality of web contents. Big data is a technique for data sets that are so compound that conventional data processing application software is not enough to deal with them. Study of server log data can provide noteworthy and useful information. Information provided can help to find out user perception. This can improve the effectiveness of the Web sites by adapting the information structure to the users’ behavior. The several web usage mining methods for extracting useful features is discussed and employ all these techniques to cluster the users of the domain to study their behaviours comprehensively. The goal of this project is to create a application that can able to give web log access information and store in a sophisticated way which is use to analyze user behaviour by mining enriched web access log data using BIG DATA HADOOP technology. The contributions of this research are a data enrichment that is content and source based and a tree-like visualization of frequent navigational sequences.
Keywords:	Big data, Web Mining, Web Usage, Hadoop.
Cite Article:	"Big Data Approach to Enhancing Quality of Web Application Contents", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 7, page no.162 - 167, July-2017, Available :http://www.ijsdr.org/papers/IJSDR1707023.pdf
Downloads:	000337072
Publication Details:	Published Paper ID: IJSDR1707023 Registration ID:170609 Published In: Volume 2 Issue 7, July-2017 DOI (Digital Object Identifier): Page No: 162 - 167 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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