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Abstract
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Article Information:
Web Crime Mining by Means of Data Mining Techniques
Javad Hosseinkhani, Suhaimi Ibrahim, Suriayati Chuprat and Javid Hosseinkhani Naniz
Corresponding Author: Javad Hosseinkhani
Submitted: June 22, 2013
Accepted: July 08, 2013
Published: March 15, 2014 |
Abstract:
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The purpose of this study is to provide a review to mining useful information by means of Data Mining. The procedure of extracting knowledge and information from large set of data is data mining that applying artificial intelligence method to find unseen relationships of data. There is more study on data mining applications that attracted more researcher attention and one of the crucial field is criminology that applying in data mining which is utilized for identifying crime characteristics. Detecting and exploring crimes and investigating their relationship with criminals are involved in the analyzing crime process. Criminology is a suitable field for using data mining techniques that shows the high volume and the complexity of relationships between crime datasets. Therefore, for further analysis development, the identifying crime characteristic will be the first step and obtained knowledge from data mining approaches is a very useful tool to help and support police forces. This research aims to provide a review to extract useful information by means of Data Mining, in order to find crime hot spots out and predict crime trends for them using crime data mining techniques.
Key words: Crime data mining techniques, forensics analysis, web crime mining, web mining, , ,
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Cite this Reference:
Javad Hosseinkhani, Suhaimi Ibrahim, Suriayati Chuprat and Javid Hosseinkhani Naniz, . Web Crime Mining by Means of Data Mining Techniques. Research Journal of Applied Sciences, Engineering and Technology, (10): 2027-2032.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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