Actually crime analysis includes exploring and detecting crimes and their relationships with criminals. Data mining techniques are heavily used in scientific research (in order to process large amounts of raw scientific data) as well as in business, mostly to gather statistics and valuable information to enhance customer relations and marketing strategies.

Identifying crime characteristics is the first step for developing further analysis.

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Data mining applications are utilized in many banking sectors for client segmentation and productivity, credit scores and authorization, predicting payment default, advertising, detecting fake transactions, etc. This paper presents a general idea about the model of Data Mining techniques and diverse cyber crimes in banking applications. true تکنیک‌های داده کاوی در کشف و پیش‌بینی جرایم اینترنتی در بخش بانکداری . In data mining, Cyber Crime management is an interesting application where it plays an important role in handling of crime data. The high volume of crime datasets and also the complexity of relationships between these kinds of data have made criminology an appropriate field for applying data mining techniques. DATA MINING TECHNIQUES TO CLUSTERING CYBER CRIME DATA. Download PDF سفارش ترجمه این … There had been an enormous increase in the crime in recent years. Dr. Neelam Sahu , Sagar Darokar . Data mining techniques in detecting and predicting cyber crimes in banking sector. Abstract .

Cyber Crime investigation has very significant role of police system in any country.


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