Data mining

IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012) March 30, 31, 2012

CRIMINAL BEHAVIOR ANALYSIS BY
USING DATA MINING TECHNIQUES

K. Zakir Hussain, M. Durairaj and G. Rabia lahani Farzana

Abstract

-

Criminology is an area that focuses the

scientific study of crime and criminal behavior and is a process that aims to identify crime characteristics. It is one of the most important fields where the application of data mining techniques can produce important results. A broad analysis of unlawful activity reveals that all criminal behavior shares a common set of universal principles. A micro simulation model can be drawn out by interlinking the universal principles with the attributes

of

the

individuals

for

profiling

the

criminal behavior. These principles remain constant; however, they manifest differently for each individual

Criminal Investigative Analysis (CIA), also known as criminal profiling [1], is an investigative tool used within the law enforcement community to help solve violent crimes. The analysis is based on a review of evidence from the crime scene and from witnesses and victims. The analysis is done from both an investigative and a behavioral perspective. The analysis can provide insight into the unknown offender (characteristics and traits) as well as investigative suggestions and strategies for interviews and trial.

depending on personality, criminal activity, extrinsic factors and the attributes of individuals. This paper elaborates the

criminal

behavior

analysis

of

the

offenders by using data mining techniques.

Index Terms

-

Universal Principles, Attributes,

Crime Module.

I.

INTRODUCTION

Criminologist proposed that criminality is not inherited, it is learned, the way it is learned, is through direct operant conditioning, and imitation or modelling of others. This application was seen
throughout