DATA MINING TECHNIQUES TO CLUSTERING CYBER CRIME DATA

Dr. Neelam Sahu , Sagar Darokar

Abstract


In data mining, Cyber Crime management is an interesting application where it plays an important role in handling of crime data. Cyber  Crime investigation has very significant role of police system in any country. There had been an enormous increase in the crime in recent years. With rapid popularity of the internet, crime information maintained in web is becoming increasingly rampant. In this paper the data mining techniques are used to analyze the web data. This paper presents detailed study on classification and clustering. Classification is the process of classifying the crime type Clustering is the process of combining data object into groups. The construct of scenario is to extract the attributes and relations in the web page and reconstruct the scenario for crime mining.


Keywords


Crime data analysis, classification, clustering

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References


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