Fuzzy Based Geo-Spatial Crime Category Prediction for Crime Mapping and Safe Route Travel

Author:

Sharma Sagar1,Uniyal Abhishek1,Srinivasan Purujit1,Chaudhari Sangita1

Affiliation:

1. Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University,Computer Engineering,Nerul, Navi Mumbai,India

Publisher

IEEE

Reference23 articles.

1. Induction of one-level decision trees;ai;Proceedings of the Ninth International Conference on Machine Learning,0

2. Crime Forecasting Using Data Mining Techniques

3. Crime mapping through geo-spatial social media activity;bendler;icis,0

4. Crime prediction and monitoring framework based on spatial analysis;toppireddy;Procedia Computer Science,2018

5. Geospatial crime analysis and forecasting with machine learning techniques

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1. Advances in Crime Identification: A Machine Learning Perspective;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

2. Predicting High-Risk Areas for Crime Hotspot Using Hybrid KNN Machine Learning Framework;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

3. SafeRoute: Analysing Online Websites To Indicate Crime Zones Using Machine Learning And Suggest Safe Route;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

4. A Survey on Prediction of Risk Related to Theft Activities in Municipal Areas using Deep Learning;2023 Second International Conference on Electronics and Renewable Systems (ICEARS);2023-03-02

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