A Comparative study of Classification Techniques for Detecting Suspicious Criminal Activities on Emails

Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to predict future trends and behaviors, allowing system to make proactive, knowledgedriven decisions. One of the most popular data mining techniques is Classification. Classification is a data mining approach that relegates things in a gathering to target classifications or classes. The primary goal of classification is to accurately predict the target class for each one case in the data.Decision Trees are widely used in Classification. Decision Trees with enhanced feature selection may be applied to identify the Suspicious Criminal Activities, since Criminal Activities conducted via the internet are traditional crimes that are committed through the use of an electronic communication device. The main objective of this paper is to observe, analyze and compare the different Classification techniques