Results 211 to 220 of about 9,406 (253)

Crime Prediction and Analysis

2nd International Conference on Data, Engineering and Applications (IDEA), 2020
Crime is one of the dominant and alarming aspect of our society. Everyday huge number of crimes are committed, these frequent crimes have made the lives of common citizens restless. So, preventing the crime from occurring is a vital task. In the recent time, it is seen that artificial intelligence has shown its importance in almost all the field and ...
null Pratibha, Akanksha Gahalot, null Uprant, Suraina Dhiman, Lokesh Chouhan   +4 more
openaire   +1 more source

Predicting Crime

SSRN Electronic Journal, 2008
Prediction markets have been proposed for a variety of public policy purposes, but no one has considered their application in perhaps the most obvious policy area.: crime. This Article proposes and examines the use of prediction markets to forecast crime rates and the potential impact on crime policy, such as changes in resource allocation, policing ...
Henderson, M. Todd, Wolfers, Justin, Zitzewitz, Eric   +2 more
openaire   +1 more source

A Classification Approach for Crime Prediction

2020
Crime is a universal social issue that affects a society’s nature of life and economic growth. With ever-increasing crime rates, law enforcement agencies have begun to show interest in data mining approaches to analyze crime patterns in an effort to protect their communities. Existing work in crime prediction is carried out by clustering the attributes
Nur Ain Syahira Zaidi, Aida Mustapha, Salama A. Mostafa, Muhammad Nazim Razali   +3 more
openaire   +1 more source

Multi-Type Urban Crime Prediction

Proceedings of the AAAI Conference on Artificial Intelligence, 2022
Crime prediction plays an impactful role in enhancing public security and sustainable development of urban. With recent advances in data collection and integration technologies, a large amount of urban data with rich crime-related information and fine-grained spatio-temporal logs have been recorded. Such helpful information can boost our understandings
Xiangyu Zhao 0001, Wenqi Fan, Hui Liu 0031, Jiliang Tang   +3 more
openaire   +1 more source

Matching and Predicting Crimes

2007
Our central aim is the development of decision support systems based on appropriate technology for such purposes as profiling single and series of crimes or offenders, and matching and predicting crimes. This paper presents research in this area for the high-volume crime of Burglary Dwelling House, with examples taken from the authors’ own work a ...
Giles Oatley, John Zeleznikow, Brian Ewart   +2 more
openaire   +2 more sources

Crime Prediction Using Twitter Data

International Journal of e-Collaboration, 2021
As social media platforms are being increasingly used across the world, there are many prospects to using the data for prediction and analysis. In the Twitter platform, there are discussions about any events, passions, and many more topics. All these discussions are publicly available.
Lydia Jane G., Hari Seetha
openaire   +1 more source

Crime Prediction and Analysis

SSRN Electronic Journal, 2019
Crime prediction and analysis is not an easy approach for government officials. Several prediction systems have been developed to assist the government agencies in solving crimes but most of them lacked essential components which would have made the quality of their output accurate, reliable and quick.
Ankit Sangani, Chirag Sampat, Vijaya Pinjarkar   +2 more
openaire   +1 more source

Spatiotemporal Crime Hotspots Analysis and Crime Occurrence Prediction

2019
Advancement of technology in every aspect of our daily life has shaped an expanded analytical approach to crime. Crime is a foremost problem where the top priority has been concerned by the individual, the community and government. Increasing possibilities to track crime events give public organizations and police departments the opportunity to collect
Niyonzima Ibrahim, Shuliang Wang 0001, Boxiang Zhao   +2 more
openaire   +1 more source