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Identification of Accurate Classification Technique for Crime Investigation Using Ensemble Approach

Sadhna Sharma1 , Sanjiv Sharma2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-8 , Page no. 137-143, Aug-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i8.137143

Online published on Aug 31, 2019

Copyright © Sadhna Sharma, Sanjiv Sharma . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sadhna Sharma, Sanjiv Sharma, “Identification of Accurate Classification Technique for Crime Investigation Using Ensemble Approach,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.8, pp.137-143, 2019.

MLA Style Citation: Sadhna Sharma, Sanjiv Sharma "Identification of Accurate Classification Technique for Crime Investigation Using Ensemble Approach." International Journal of Computer Sciences and Engineering 7.8 (2019): 137-143.

APA Style Citation: Sadhna Sharma, Sanjiv Sharma, (2019). Identification of Accurate Classification Technique for Crime Investigation Using Ensemble Approach. International Journal of Computer Sciences and Engineering, 7(8), 137-143.

BibTex Style Citation:
@article{Sharma_2019,
author = {Sadhna Sharma, Sanjiv Sharma},
title = {Identification of Accurate Classification Technique for Crime Investigation Using Ensemble Approach},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2019},
volume = {7},
Issue = {8},
month = {8},
year = {2019},
issn = {2347-2693},
pages = {137-143},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4801},
doi = {https://doi.org/10.26438/ijcse/v7i8.137143}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i8.137143}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4801
TI - Identification of Accurate Classification Technique for Crime Investigation Using Ensemble Approach
T2 - International Journal of Computer Sciences and Engineering
AU - Sadhna Sharma, Sanjiv Sharma
PY - 2019
DA - 2019/08/31
PB - IJCSE, Indore, INDIA
SP - 137-143
IS - 8
VL - 7
SN - 2347-2693
ER -

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Abstract

Recently, it`s observed that the crime is increasing across the world very rapidly and some technique is required for analysis of the crime data. Analysis of the crime data can be done through data mining (DM). DM techniques are applied to crime data for predicting features that affect the high crime rate. Using the method of data mining on previously collected data for predicting the features responsible for the crime in a locality or area, the Police Department and the Crimes Record Bureau Police Department may take the required measures to reduce the likelihood of the crime. In the current work, a new machine learning ensemble algorithm is opted for predicting feature that affects a high crime rate. It helps the police and citizens to take necessary and required action in decreasing the crimes rate. The ensemble algorithm can predict more accurate and significant features with higher accuracy and efficiency.

Key-Words / Index Term

Crime investigation, Crime Prediction, Crime Prediction, Data Mining, Ensemble approach

References

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