A Survey: Data Mining Techniques for Detecting Suspicious Criminal Activities on Emails |
Author(s): |
| Hitesh Mahanand , MATS School of Engineering & Technology; Deepak Kumar Xaxa, MATS School of Engineering & Technology |
Keywords: |
| Classification techniques; Criminal Activities; Decision Trees; eature selection; Secuirity; Suspicious |
Abstract |
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Data mining technique is the extraction of imperceivable information from large databases, and is a most powerful new emerging technology with great potential to envision future patterns and behaviors, permitting system to generate proactive, knowledge-driven decisions. A standout amongst the most prevalent data mining systems is Classification. Classification is a data mining approach that consigns things in a gathering to target classifications or classes. The primary goal of classification is to accurately and precisely predict the target class for each one case in the data. Since Criminal Activities conducted via the internet are traditional crimes that are committed through the use of an electronic communication device, so the Classification techniques may be applied to identify the Suspicious Criminal Activities. The main objective of this survey is to view, analyze and study the different Classification techniques. |
Other Details |
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Paper ID: IJSRDV3I40869 Published in: Volume : 3, Issue : 4 Publication Date: 01/07/2015 Page(s): 1432-1437 |
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