Research Article
Data Mining Social Media Model for Detecting Cybercriminal Network (DMSM-CN)
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 179 - Issue 34 |
| Published: Apr 2018 |
| Authors: Ejiofor C. I, Onuodu .F |
10.5120/ijca2018916526
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Ejiofor C. I, Onuodu .F . Data Mining Social Media Model for Detecting Cybercriminal Network (DMSM-CN). International Journal of Computer Applications. 179, 34 (Apr 2018), 1-4. DOI=10.5120/ijca2018916526
@article{ 10.5120/ijca2018916526,
author = { Ejiofor C. I,Onuodu .F },
title = { Data Mining Social Media Model for Detecting Cybercriminal Network (DMSM-CN) },
journal = { International Journal of Computer Applications },
year = { 2018 },
volume = { 179 },
number = { 34 },
pages = { 1-4 },
doi = { 10.5120/ijca2018916526 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2018
%A Ejiofor C. I
%A Onuodu .F
%T Data Mining Social Media Model for Detecting Cybercriminal Network (DMSM-CN)%T
%J International Journal of Computer Applications
%V 179
%N 34
%P 1-4
%R 10.5120/ijca2018916526
%I Foundation of Computer Science (FCS), NY, USA
Abstract
A Data Mining Social Media Model for Detecting Cybercriminal Network (DMSM-CN) has been designed. This model locate hidden pattern found in cybercriminal network with the aim of mitigating it. The model comprises of The model comprises of: Online social media, File and network analyzer, Positive data, Negative data, Classifier, Gibb sampling Algorithms, Laplacin Semantic Inference and inferential language modeling. The model will mitigate cybercrime, eliminating cyber network and enhancing the usefulness of social media.
References
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