UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 3
March-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1803187


Registration ID:
180708

Page Number

988-995

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Title

Search optimisation using data analytics

Abstract

Big data analytics involves usage of various techniques and methods for the extraction of useful information from data having large volume, velocity and variety. With the huge amounts of data that is being produced in today’s world, big data analytics is the key to breaking down this massive amount of knowledge to find hidden patterns and gain insights from it. Searching this prodigious amount of data to find required details can be a laborious and time-consuming task. This paper proposes a fast approach for search based data retrieval. The aim is to achieve significantly low processing time and show the results by implementing it on an application for pet related searches. The algorithm used is aimed at being general so that it can be applied to various similar search applications. Here, we discuss the importance of big data analytics combined with the usage of cloud for storage and how it can enhance our searches in future. The tools and techniques are reviewed. Conclusions are drawn concerning the design and the applications of this project.

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"Search optimisation using data analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.988-995, March-2018, Available :http://www.jetir.org/papers/JETIR1803187.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

"Search optimisation using data analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp988-995, March-2018, Available at : http://www.jetir.org/papers/JETIR1803187.pdf

Publication Details

Published Paper ID: JETIR1803187
Registration ID: 180708
Published In: Volume 5 | Issue 3 | Year March-2018
DOI (Digital Object Identifier): http://doi.one/10.1729/IJCRT.17370
Page No: 988-995
Country: Bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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