UGC Approved Journal no 63975(19)

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

Volume 5 Issue 5
May-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1805720


Registration ID:
182786

Page Number

706-711

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Title

EXPLORING Nth CO-OCCURRENCE KEYWORDS FROM BIGDATA

Abstract

In the last decade, keyword search over relational databases has been extensively studied because it promises to know the users lacking with knowledge of structured languages with query or unaware of the relational database schema on to query the data set in an intuitive approach. The existing works related to about keyword search on the data sets proposed many different approaches and have also gain remarkable results in improvement. However, In most of these new approaches are designed in the centralized setting of where keyword search is used and processed by only the single server. In reality, the scale of data sets increases sharply and the centralized methods are hardly can able to handle keyword queries in and over these large databases. Moreover, processing keyword search over relational databases is a very time-consuming task, and the efficiency of the existing centralized approaches will degrade notably because there are single server which cannot provide enough in computation power for the analysis of keyword search over very huge and large data sets. To address these issues and challenges, we propose the distributed keyword search (DKS) as an approach with R Programming and this approach makes to be well deployed in onto any cluster of data servers to deal with keyword search over large databases in a parallel way..

Key Words

Twitter, sentiment analysis, symbol analysis..

Cite This Article

"EXPLORING Nth CO-OCCURRENCE KEYWORDS FROM BIGDATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.706-711, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805720.pdf

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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

"EXPLORING Nth CO-OCCURRENCE KEYWORDS FROM BIGDATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp706-711, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805720.pdf

Publication Details

Published Paper ID: JETIR1805720
Registration ID: 182786
Published In: Volume 5 | Issue 5 | Year May-2018
DOI (Digital Object Identifier):
Page No: 706-711
Country: -, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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