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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM34713

CRIME PATTERN PREDICTION USING ML ALGORITHMS

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM34713

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem34713

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RHM

Rakshitha H M

RR

Rajesh R

RKN

Ruchitha K N

VVN

Vishal V Naik

DN

Dr.Arun Nagarle

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Abstract

Today the  crimes are increasing rapidly that too in a high population countries. So we require automated application to detect crime and prevention. The system should stop crimes before it begins. As crimes are on the rise, preventive  measures should be taken to stop the occurring of crimes. Finding frequent crimes and related correlation is tiresome and a high-effort task in the current crime sector. machine learning or AI, is an emerging technology to solve this problem. Previously effective unsupervised learning algorithms datasets for procedural crime training and frequent crimes and their relationships are identified [5]. Designed system created to reduce crime and applicable to crime sector. We build an application anywhere it is useful for criminal sectors to reduce crime. Currently, none of the applications in criminal activity and we use effective data science algorithms to predict crimes with better results.

KEYWORDS

Data Science Machine Learning Apriori Algorithm Apriori TID Algorithm Crime Types Patterns

Cite This Article

Rakshitha H M, Rajesh R, Ruchitha K N, Vishal V Naik, Dr.Arun Nagarle, "CRIME PATTERN PREDICTION USING ML ALGORITHMS," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/ijsrem34713

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Publication Date

5/27/2024

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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