UGC Approved Journal no 63975(19)

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

Volume 4 Issue 11
November-2017
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1711078


Registration ID:
170924

Page Number

435-438

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Title

Criminal Data Analysis For Improving CIS (Crime Investigation System) Using GIS & Data Mining

Abstract

Crime is one of the major issues affecting our society. To handle it, we have a police system and the judiciary in place. Our paper proposes an information system that can be used to help the police effectively extract knowledge from the daily collected information. Data mining is used to automatically discover patterns and relationships in large databases. Our system aims to work on main goal is to perform crime analysis and to detect the patterns in previous crimes and apply them to the current situations to find similarities. Our paper explores methods to perform these two tasks, independently.

Key Words

Crime prevention, CIS, hotspot detection, Data mining, Weka

Cite This Article

"Criminal Data Analysis For Improving CIS (Crime Investigation System) Using GIS & Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 11, page no.435-438, November-2017, Available :http://www.jetir.org/papers/JETIR1711078.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

"Criminal Data Analysis For Improving CIS (Crime Investigation System) Using GIS & Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 11, page no. pp435-438, November-2017, Available at : http://www.jetir.org/papers/JETIR1711078.pdf

Publication Details

Published Paper ID: JETIR1711078
Registration ID: 170924
Published In: Volume 4 | Issue 11 | Year November-2017
DOI (Digital Object Identifier):
Page No: 435-438
Country: Nanded, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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