Classification of Criminal Data Using J48-Decision Tree Algorithm
Nitin Nandkumar Sakhare · 2014
ABSTRACT In recent years, amount of crime has become a serious problem in most of the countries. Now a day’s criminals have maximum use of modern technologies to commit the crime and investigators on the other hand are still using traditional manual processes, for example First Information Report (FIR) to analyze the suspect of the crime. Crime investigation becomes time consuming and tedious task with existing investigation techniques. Large amount of information is collected during investigation process. Extracting only useful information from it is a challenging task if done manually. Crime investigation process needs to be faster and efficient. Crime is an interesting domain where data mining plays an important role in terms of prediction and analysis. This paper presents a detailed study on a J48 - decision tree algorithm for predicting a crime suspect and overall analysis of crime data. This study also helps investigators for better prediction and classification of crime and criminal data. damage o