Analysis and Prediction of Crime Using Machine Learning Techniques

Author:

Srinivasulu Raju S.,Narasimha Swamy G.,Rejoice Angelina M.,Sai Snehitha M.,Sai Chandana M.,Priya Mythili M.

Publisher

Springer Singapore

Reference26 articles.

1. Agarwal S, Yadav L, Thakur MK, Crime prediction based on statistical model. Department of Computer Science Engineering and Information Technology, Jaypee Institue of Information Technology, Noida, 201309, India

2. Arietta SM, Efros AA, Ramamoorthi R, Agarwala MA City forensic: using visual elements to predict non-visual city attributes. EECS Department, University of California, Berkeley

3. Joshi A, Sai Sabitha A, Choudhury T (2017) Crime analysis using K-means clustering. In: 2017 3rd international conference on computational intelligence and networks

4. Yu L-C, Chen T-Y, Lin Y-L (2017) Using machine learning to assist crime prevention. In: 2017 6th IIAI international congress on advanced applied informatics (IIAI-AAI)

5. Drew J, Moore T Automatic identification of replicated criminal websites using combined clustering. Computer Science and Engineering Department, Southern Methodist University, Dallas, TX, USA

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Unravelling State-wise Crime Patterns with Ensemble Machine Learning and Data Visualization for Public Safety;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

2. The Evolution of Labor Market: A Blockchain Based Decentralized Hiring System for Efficient Labor Acquisition;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

3. Crime detection and crime hot spot prediction using the BI-LSTM deep learning model;International Journal of Knowledge-Based Development;2024

4. Identification of Fake Indian Currency Using Deep Learning Techniques;2023 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC);2023-12-14

5. Classification And Detection Of Skin Cancer Using Deep Learning Methods;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3