International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Novel Technique for Crime Rate Prediction Using Data Mining and Deep Learning Approaches |
|---|---|
| ABSTRACT | Rapid urbanization and population growth have led to a significant increase in crime incidents, posing serious challenges to public safety and law enforcement agencies. Accurate crime rate prediction can help authorities in proactive decision-making, resource allocation, and crime prevention. Traditional statistical methods are limited in handling large, complex, and heterogeneous crime datasets. This paper proposes a novel crime rate prediction framework that integrates data mining techniques with deep learning models to improve prediction accuracy and reliability. The proposed approach employs data preprocessing and feature engineering to extract meaningful crime patterns, followed by the application of machine learning classifiers and deep learning models such as Long Short-Term Memory (LSTM) networks for temporal prediction. Experimental evaluation on real-world crime datasets demonstrates that the proposed hybrid framework outperforms traditional machine learning approaches in terms of prediction accuracy and robustness. The results indicate that deep learning-based crime prediction can effectively support intelligent policing and smart city initiatives. |
| AUTHOR | MANSI YADAV, PROF. VISHAL PARANJAPE, PROF. SAURABH VERMA Department of Computer Science and Engineering, Baderia Global Institute of Engineering & Management, Jabalpur, Madhya Pradesh, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401040 |
| pdf/40_Novel Technique for Crime Rate Prediction Using Data Mining.pdf | |
| KEYWORDS | |
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