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A Survey of the Factors of Optimal Noise Reduction Algorithm for Terrorist Web Mining
R D Gaharwar, D B Shah and G K S Gaharwar. Article: A Survey of the Factors of Optimal Noise Reduction Algorithm for Terrorist Web Mining. Communications on Applied Electronics 4(6):27-30, March 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX
@article{key:article,
author = {R.D. Gaharwar and D.B. Shah and G.K.S. Gaharwar},
title = {Article: A Survey of the Factors of Optimal Noise Reduction Algorithm for Terrorist Web Mining},
journal = {Communications on Applied Electronics},
year = {2016},
volume = {4},
number = {6},
pages = {27-30},
month = {March},
note = {Published by Foundation of Computer Science (FCS), NY, USA}
}
Abstract
Over the past few decades there have been frequent terrorist attacks around the world including India. This article describes Terrorist Network Mining and problems faced during studying such networks. A major challenge faced by the law enforcement agencies is the large crime ‘raw’ data volumes and the lack of sophisticated network analysis tools and techniques to utilize the data effectively and efficiently. This article states different data collection techniques used for terrorist networks. The major challenge is the development of the optimal noise reduction algorithm which will help in creating accurate linkage map of terrorist network without the loss of any key player node. This article successfully lists the factors that can be taken under consideration during generation of optimal noise reduction algorithm for Terrorist Web Mining. Once the accurate linkage map is generated the identification and removal of the key player for the destabilization of terrorist networks will become lot easier.
References
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Keywords
Social Network Analysis, Terrorist Networks, Terrorist Network Mining
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