Abstract :

Data Mining Plays A Key Role In Crime Analysis. There Are Many Different Algorithms Mentioned In Previous Research Papers, Among Them Are The Virtual Identifier, Pruning Strategy, Support Vector Machines, And Apriori Algorithms. In This Research Paper, We Identified Crime Mapping Analysis Based On KNN(K – Nearest Neighbor) And ANN (Artificial Neural Network) Algorithms To Simplify This Process. Evidence-based Research Helps In Analyzing Crimes. We Calculate The Crime Rate Based On The Previous Data Using Datamining Techniques. For Public Safety Purposes, Crime Mapping Is An Essential Research Area To Concentrate On. We Can Identify The Most Frequently Crimeoccurring Zones With The Help Of Data Mining Techniques. In Crime Analysis Mapping, We Follow The Following Steps In Order To Reduce The Crime Rate: 1) Collect Crime Data 2) Group Data 3) Clustering 4) Forecasting The Data. Crime Analysis With Crime Mapping Helps In Understanding The Concepts And Practice Of Crime Analysis In Assisting Police And Helps In The Reduction And Prevention Of Crimes And Crime Disorders

Published:

09-6-2025

Issue:

Vol. 25 No. 6 (2025)

Page Nos:

225-229

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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