Study of crime data can help us analyze crime pattern, inter-related clues& important hidden relations between the crimes. That is why data mining can be great aid to analyze, visualize and predict crime using crime data set.[4] Criminology is scientific study of crime and criminal behavior in order to detect crime characteristics. Use of data mining techniques can produce important results from crime dataset. The very step in study of crime is crime analysis. More specifically, crime analysis is the breaking up of acts committed in violation of laws into their parts to find out their nature and reporting statements of these findings. Crime analysis is exploring, inter relating and detecting relationships between various crimes and characteristics of crimes. Data mining methods have become the main tools to analyze data and to discover knowledge from them. Here, data mining refers to an integration of multiple methods such as classification, clustering, evaluation, and data …show more content…
[6] Data mining methods accelerate crime analytics, provide better analysis and produce real time solutions to save considerable resources and time. Today, a high number of crimes are causing a lot of problems in many different countries. In fact, scientists are spending time studying crime and criminal behaviors in order to understand the characteristics of crime and to discover crime patterns. It is known that criminals follow repetitive behavior patterns, so analyzing their behaviors can help to capture relations among events from past crimes. In this, crime research studies are integrated by data mining techniques to identify the patterns and to achieve more accurate results. The main objective of crime data analysis is to identify the crime characteristics and their relationships with the criminals. The high volume of crime dataset and also the complexity of relationships between these kinds of data make the analysis procedure difficult. At present manual investigation of crime data by analysts and law enforcement agencies is limited. In order to facilitate the analysis procedure, data mining techniques have become the important tools. [5] Data mining has numerous techniques yet a standout amongst the most generally utilized and important technique is