Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 14, Issue 2


Published
on


Pages

590-594


DOI

Article

Crime Data Analsysis and Prediction Using Decision Tree


Authors

N. Sreekanth* Affiliation:
Malla Reddy Engineering College for Women (UGC-Autonomous), Maisammaguda, Hyderabad, TS, India.
, M. Akhila Affiliation:
Malla Reddy Engineering College for Women (UGC-Autonomous), Maisammaguda, Hyderabad, TS, India.
, N. Shivani Affiliation:
Malla Reddy Engineering College for Women (UGC-Autonomous), Maisammaguda, Hyderabad, TS, India.
and P. Nalini Priya Affiliation:
Malla Reddy Engineering College for Women (UGC-Autonomous), Maisammaguda, Hyderabad, TS, India.


Abstract

Crime analysis and prediction is a systematic approach for identifying the crime. This system can predict region which have high probability for crime occurrences and visualize crime prone area. Using the concept of data mining we can extract previously unknown, useful information from an unstructured data. The extraction of new information is predicted using the existing datasets. Crimes are treacherous and common social problem faced worldwide. Crimes affect the quality of life ,economic growth and reputation of nation. With the aim of securing the society from crimes, there is a need for advanced systems and new approach es for improving the crime analytics for protecting their communities. We propose a system which can analysis, detect, and predict various crime probability in given region. This paper explains various types of criminal analysis and crime prediction using several data mining techniques.


Keywords

Crime, Act379, Act302, data mining.


Citation

Sreekanth, N., Akhila, M., Shivani, N., & Priya, P. N. (2023). Crime data analsysis and prediction using decision tree. Turkish Journal of Computer and Mathematics Education, 14(2), 590–594.

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