More and more advanced crime mapping methods have been used for several dozen years imaging, analyzing, and, consequently, preventing, combating crime. Initially, they served only specialized task units in charge of the fight against Subsequently, became sources public information on level security particular locations. The crucial requirement development these third decade 21st century is rela...

Chemical data related to illicit cocaine seizures is analyzed using linear and nonlinear dimensionality reduction methods. The goal is to find relevant features that could guide the data analysis process in chemical drug profiling, a recent field in the crime mapping community. The data has been collected using gas chromatography analysis. Several methods are tested: PCA, kernel PCA, isomap, sp...

In order to improve our knowledge of how jurors come to make decisions, psychologists and criminologists have developed the ‘mock juror’ paradigm. Here the details of a mock (or real) criminal event are presented to a group of individuals acting as though they are jurors deliberating a trial. A number of mock jury studies have considered both evidential information, such as how the alleged perp...

Crime may be a behavior deviating from traditional violation of the norms giving peoples' losses and harms. Social, psychological, economic and environmental factors are to be thought-about in crime issues. Crime is tried to be explained by numerous theories from totally different sciences. Social and psychological theories contemplate the foundation causes of crime noticing to factors like soc...

Criminologists have expanded their use of maps as the costs of mapping have plummeted. Using two cases of drug dealing, this paper examines the way in which theory influences how we interpret maps. The first study is a hypothetical case using fictitious data; the second, an actual case using real data. We show that when the explicit theoretical content of maps is low, it is difficult to interpr...

In this paper, we presented a new model for cyber crime investigation procedure which is as follows: readiness phase, consulting with profiler, cyber crime classification and investigation priority decision, damaged cyber crime scene investigation, analysis by crime profiler, suspects tracking, injurer cyber crime scene investigation, suspect summon, cyber crime logical reconstruction, writing ...

Financial crime is a rampant but hidden threat. In spite of this, predictive policing systems disproportionately target “street crime” rather than white collar crime. This paper presents the White Collar Crime Early Warning System (WCCEWS), a white collar crime predictive model that uses random forest classifiers to identify high risk zones for incidents of financial crime.