Crime Data Analysis, Visualization and Prediction

COPLINK: Visualization for Crime Analysis

COPLINK: Visualization for Crime Analysis Hsinchun Chen, Homa Atabakhsh, Tim Petersen*, Jenny Schroeder*, Ty Buetow, Luis Chaboya, Chris O’Toole, Michael Chau, Tom Cushna, Dan Casey*, Zan Huang University of Arizona, AI Lab {hchen, [email protected]} http://ai.bpa.arizona.edu/ *Tucson Police Dept. Abstract We have applied various visualization techniques to assist crime analysis. These techn...

Survey of Crime Analysis and Prediction

Crime analytics and prediction have long been studied among research communities. In recent years, crime data from different heterogeneous sources have given immense opportunities to the research community to effectively study crime pattern and prediction tasks in actual real data. In this survey paper, we will discuss research that takes into account a variety of crime related variables, and s...

Bayesian Prediction in Spatial Data Analysis

Criminal Geographical Profiling: Using FCA for Visualization and Analysis of Crime Data

fighting criminal activities in our modern societies required the engagement of intelligent information systems that can analyze crime data geographically and enable new concepts to be deduced from it. These information systems should be able to create visualization of such data as well as have the capability of giving new incite of information, if data is updated whilst maintaining the previou...

A new approach for data visualization problem

Data visualization is the process of transforming data, information, and knowledge into visual form, making use of humans’ natural visual capabilities which reveals relationships in data sets that are not evident from the raw data, by using mathematical techniques to reduce the number of dimensions in the data set while preserving the relevant inherent properties. In this paper, we formulated d...