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Analysis of Crime Data and finding frequent patterns using Hadoop and Data Analytic Techniques

by Aniket B. Wakde, Shravani J. Uttarwar, Sudarshan D. Waydande, Purvesh Shende, Ganesh Deshmukh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 27
Year of Publication: 2019
Authors: Aniket B. Wakde, Shravani J. Uttarwar, Sudarshan D. Waydande, Purvesh Shende, Ganesh Deshmukh
10.5120/ijca2019918985

Aniket B. Wakde, Shravani J. Uttarwar, Sudarshan D. Waydande, Purvesh Shende, Ganesh Deshmukh . Analysis of Crime Data and finding frequent patterns using Hadoop and Data Analytic Techniques. International Journal of Computer Applications. 178, 27 ( Jun 2019), 17-20. DOI=10.5120/ijca2019918985

@article{ 10.5120/ijca2019918985,
author = { Aniket B. Wakde, Shravani J. Uttarwar, Sudarshan D. Waydande, Purvesh Shende, Ganesh Deshmukh },
title = { Analysis of Crime Data and finding frequent patterns using Hadoop and Data Analytic Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2019 },
volume = { 178 },
number = { 27 },
month = { Jun },
year = { 2019 },
issn = { 0975-8887 },
pages = { 17-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number27/30705-2019918985/ },
doi = { 10.5120/ijca2019918985 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:51:35.289261+05:30
%A Aniket B. Wakde
%A Shravani J. Uttarwar
%A Sudarshan D. Waydande
%A Purvesh Shende
%A Ganesh Deshmukh
%T Analysis of Crime Data and finding frequent patterns using Hadoop and Data Analytic Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 27
%P 17-20
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With continually increasing population and violations, rate of crime is also increasing. Analyzing such rapidly increasing data regularly is a huge issue for police department. This is extremely important to guard the residents of the nation from violations. Certain patterns must be discovered, examined and talked about to take well informed decisions so that law and orders can be kept up legitimately. Hadoop is one of an open source programming framework that supports the processing and storage of extremely large data sets in a distributed computing environment. Pig Latin is the scripting language to construct MapReduce programs for an Apache project which runs on Hadoop. The benefit of using Pig Latin is that fewer lines of code has to be written which reduces overall development and testing time. Therefore, pig technology works more efficiently than MapReduce which is presented in this paper using case study of Crime Data Analysis.

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Index Terms

Computer Science
Information Sciences

Keywords

Big Data Hadoop Map-Reduce Pig etc.

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