Crime predictive model using big data analytics

HK Bhuyan, SK Pani - Intelligent Data Analytics for Terror …, 2021 - Wiley Online Library
Big data analytics (BDA) is systematized based on recognized diverse data group models,
data family members, and movements within a huge amount of information. It considers BDA …

[PDF][PDF] Using big data analytics for developing crime predictive model

T Chauhan, R Aluvalu - RK University's First International …, 2016 - researchgate.net
In this growing field of technology, rate of cyber-crimes is increasing and are challenging the
capabilities of investigation people. The data generation regarding crime is also increased …

[PDF][PDF] Crime Detection Approach Using Big Data Analytics and Machine Learning

SS Kshatri, D Bhonsle, R Verma, AG Pillai… - …, 2022 - researchgate.net
Abstract The Crime Analysis phase establishes the number of crimes and other elements
such as the type of crime, murder, rape, kidnapping, etc. Various data analytics …

Geographical Crime Rate Prediction System

S Tarlekar, R Bhosle, E D'souza… - 2021 IEEE India Council …, 2021 - ieeexplore.ieee.org
Crime is one of the most important and dominating problems in our society, and its
prevention is a crucial task. Due to the rapid organization and progress of big urban centers …

[PDF][PDF] Building a learning machine classifier with inadequate data for crime prediction

TT Nguyen, A Hatua, AH Sung - Journal of Advances in …, 2017 - pdfs.semanticscholar.org
In this paper, we describe a crime predicting method which forecasts the types of crimes that
will occur based on location and time. In the proposed method the crime forecasting is done …

[PDF][PDF] Crime Data Forecasting Using Machine Learning and Big Data Analytics

R Brindha, M Thillaikarasi - Management, 2021 - pdfs.semanticscholar.org
Big data analytics (BDA) is a system based method with an aim to recognize and examine
different designs, patterns and trends under the big dataset. In this paper, BDA is used to …

Machine learning based analytical approach for geographical analysis and prediction of Boston City crime using geospatial dataset

HK Sharma, T Choudhury, A Kandwal - GeoJournal, 2023 - Springer
Abstract Machine Learning algorithms has proved its significant contribution in all major
domains of technical and non-technical sectors. In present days, the Intelligence Bureau is …

[PDF][PDF] Crime prediction and forecasting using machine learning algorithms

A Tamir, E Watson, B Willett, Q Hasan… - International Journal of …, 2021 - researchgate.net
This research will focus on machine learning algorithms for crime forecasting. In the modern
world, crime is becoming a major and complex problem. In this research, we discover the …

Crime rate prediction based on k-means clustering and decision tree algorithm

J Kumar, M Sravani, M Akhil, P Sureshkumar… - Computer Networks and …, 2022 - Springer
The major cause of crimes that initiate nuisance for society in many ways is human behavior
disorder. In many countries, the crimes and accidents are seriously monitored. Crime …

Spatial Analysis of Violent Crime Dataset Using Machine Learning

F Adesola, A Azeta, S Misra, A Oni, R Ahuja… - … and Smart Cities …, 2022 - Springer
The monster called crime has been living with us from the beginning of human existence
and impacts negatively on the general health of a nation. Different approaches were …