Manuscript accepted on : 03 September 2015
Published online on: --
Performance Analysis of Data Mining using Various Detection Systems
P. Venkatesh and V. Sesha Sai Krishna
Department of Computer Science and Engineering, Sathyabama University, Chennai-119.
DOI : http://dx.doi.org/10.13005/bbra/2214
ABSTRACT: Nowadays it is most important to protect a high level data protection to make sure secure and believed communication of data between different groups. But it is not possible because of terror related activities, intrusion and outlier. It can be analyzed by using various detection systems of data mining. Different data mining algorithms plays an important role in various detection systems. In this paper we have used few algorithms named apriori algorithm and genetic algorithm for detecting various systems.
KEYWORDS: Data Mining; Intrusion Detection System; Terror Related Detection System; Outlier Detection Scheme and various Data Mining Algorithms
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| Copy the following to cite this article: Venkatesh P, Krishna V. S. S. Performance Analysis of Data Mining using Various Detection Systems. Biosci Biotech Res Asia 2015;12(spl.edn.2) |
| Copy the following to cite this URL: Venkatesh P, Krishna V. S. S. Performance Analysis of Data Mining using Various Detection Systems. Biosci Biotech Res Asia 2015;12(spl.edn.2). Available from:https://www.biotech-asia.org/?p=12945 |
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