A Neuro-Genetic Approach for Detecting Suspicious Criminal Activities on Emails |
Author(s): |
| Hitesh Mahanand , Mats school of Engineering ⁢ Deepak Kumar Xaxa, Mats school of Engineering &IT |
Keywords: |
| Classification Techniques, Criminal Activities, Feature Selection, Genetic, Hybrid, Neuro, Suspicious |
Abstract |
|
The paper presents a hybrid data mining classification technique for detection of suspicious criminal activities on e-mails. In the paper we proposed a Neuro-Genetic approach in which, a Genetic Algorithm is used for feature reduction & selection and Neural Network with back-propagation is used for classification. The presented hybrid model focuses on the evaluation of knowledge based learning’s to detecting the suspicious criminal activities on e-mails. In the literature, various machine learning algorithms achieved good accuracy for the related task. We have identified the combination of those algorithms results that improve the performance of the existing algorithms. |
Other Details |
|
Paper ID: IJSRDV3I50503 Published in: Volume : 3, Issue : 5 Publication Date: 01/08/2015 Page(s): 669-672 |
Article Preview |
|
|
|
|
