Paper Title
Evaluating Of People's Perspectives About Cybercrime By Using Data Mining Techniques

Abstract
Cybercrime is well known as an act of insult to individuals, damaging or harming organisations or institutions materials using a computer or the internet. Questions about cybercrimes and other crimes are asked to individuals and their perspectives are analysed using data mining techniques.Data mining is a field comprising many different techniques that can be used in acquiring new information or better information from the gathered data. These techniques include association, classification, clustering, prediction, sequential patterns, and decision trees. Nowadays the effect of cybercrime on people and their lives is a very important are to study. This paper aims to predict individuals classification based on their perspective on cybercrime by following the classification method and association rule method of data mining. Keywords- Cybercrime; Data Mining; Classification; Association; Clustering

Author - Murat Karabatak, Usman Umar

Published : Volume-3,Issue-6  ( Jun, 2016 )

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