UGC Approved Journal no 63975(19)

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

Volume 4 Issue 4
April-2017
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1704063


Registration ID:
170242

Page Number

257-259

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Title

Enhance algoritham to predict a crime using data mining

Abstract

Data mining is used extensively in terms of analysis and investigation of patterns for occurrence of different crime. Data mining can be used to model crime detection problems. Crimes are a social nuisance and cost our society dearly in several ways. Our aim is to predict the crime and location in which specific types of crime will occur. Our approach is based on sentimental analysis by applying lexicon-based method. We have to use here twitter data set. We are predicting future crime in particular area (illinoise, Chicago).

Key Words

Data mining, crime prediction, twitter sentiment analysis, clustering

Cite This Article

"Enhance algoritham to predict a crime using data mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 4, page no.257-259, April-2017, Available :http://www.jetir.org/papers/JETIR1704063.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

"Enhance algoritham to predict a crime using data mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 4, page no. pp257-259, April-2017, Available at : http://www.jetir.org/papers/JETIR1704063.pdf

Publication Details

Published Paper ID: JETIR1704063
Registration ID: 170242
Published In: Volume 4 | Issue 4 | Year April-2017
DOI (Digital Object Identifier):
Page No: 257-259
Country: gandhinagar, gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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