We incorporate two knowledge discovery techniques, clustering and association-rule mining, into a fruitful exploratory tool for the discovery of spatio-temporal patterns. This tool is an autonomous pattern detector to reveal plausible cause-effect associations between layers of point and area data. We present two methods for this exploratory analysis and we detail algorithms to effectively expl...

Fingerprint Identification and Verification are important tools for both forensics (when dealing with crime evidence) and authentication when used as a biometricidentifier, say for access purposes. Although fingerprint authentication is considered an effective method, the quality of the verification is highly dependent upon sample quality. In the case of crimes, since most people would not leav...

To address the data and technical challenges facing ISI, we present a research framework with a primary focus on KDD (Knowledge Discovery from Databases) technologies. The framework is discussed in the context of crime types and security implications. Selected data mining techniques, including information sharing and collaboration, association mining, classification and clustering, text mining,...

An intertemporal general equilibrium model of criminal behavior is used to analyze the effect on crime of changing policy parameters. The policy parameters are the length of the prison term, the severity of punishment, and the amount of police resources. The number of crimes in society can be decomposed into an incentive part, an incarceration part, and a crime competition part. The magnitudes ...

In today’s security conscious environment, the primary concern of security professionals and police departments is to protect the lives and property of citizens. Any act that causes loss of lives and harms people is called as crime. Crime analysis, a part of criminology, is a task that includes exploring and detecting crimes and their relationships with criminals. Presently there are several cr...

Criminology and Penology Theories Anomie Differential Association Theory Deviance Labeling Theory Psychopathy Rational Choice Theory Social Control Theory Social Disorganization Theory Social Learning Theory Strain Theory Subcultural Theory Symbolic Interactionism · Victimology Types of crimes Blue-collar crime · Corporate crime Juvenile crime Organized crime Political crime · Public order crim...

Modern day crime scene investigation methods are continually being enhanced by the application of new technologies used to better analyze crime scene data and improve the presentation of such data in the courtroom, helping to solve and prosecute crimes. This paper describes a new system called IC-CRIME that integrates several new technologies to meet both of these needs. IC-CRIME employs laser ...

In this paper we demonstrate the use of network analysis to characterise patterns of clustering in spatio-temporal events. Such clustering is of both theoretical and practical importance in the study of crime, and forms the basis for a number of preventative strategies. However, existing analytical methods show only that clustering is present in data, while offering little insight into the natu...