ENHANCED ALGORITHMS TO ANALYSE AND PREDICT THE CRIME USING DATA MINING

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Dr.A. Malathi
Dr.A. Malathi
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Dr. S. Santhosh Baboo
Dr. S. Santhosh Baboo

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ENHANCED ALGORITHMS TO ANALYSE AND PREDICT THE CRIME USING DATA MINING

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Abstract

Abstracts -Crime is a behavior disorder that is an integrated result of social, economical and environmental factors. Crimes are a social nuisance and cost our society dearly in several ways. Any research that can help in solving crimes faster will pay for itself. In this paper we look at use of missing value and clustering algorithm for crime data using data mining. We will look at MV algorithm and Apriori algorithm with some enhancements to aid in the process of filling the missing value and identification of crime patterns. We applied these techniques to real crime data from a city police department. We also use semi-supervised learning technique here for knowledge discovery from the crime records and to help increase the predictive accuracy.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr.A. Malathi. 1970. \u201cENHANCED ALGORITHMS TO ANALYSE AND PREDICT THE CRIME USING DATA MINING\u201d. Unknown Journal GJCST Volume 11 (GJCST Volume 11 Issue 11): .

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GJCST Volume 11 Issue 11
Pg. 47- 51
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v1.2

Issue date

July 6, 2011

Language
en
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Abstracts -Crime is a behavior disorder that is an integrated result of social, economical and environmental factors. Crimes are a social nuisance and cost our society dearly in several ways. Any research that can help in solving crimes faster will pay for itself. In this paper we look at use of missing value and clustering algorithm for crime data using data mining. We will look at MV algorithm and Apriori algorithm with some enhancements to aid in the process of filling the missing value and identification of crime patterns. We applied these techniques to real crime data from a city police department. We also use semi-supervised learning technique here for knowledge discovery from the crime records and to help increase the predictive accuracy.

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ENHANCED ALGORITHMS TO ANALYSE AND PREDICT THE CRIME USING DATA MINING

Dr.A. Malathi
Dr.A. Malathi
Dr. S. Santhosh Baboo
Dr. S. Santhosh Baboo

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