A Study of Big Data Security on a Partitional Clustering Algorithm with Perturbation Technique

Partitional Clustering Algorithm (PCA) on the Hadoop Distributed File System is to perform big data securities using the Perturbation Technique is the main idea of the proposed work. There are numerous clustering methods available that are used to categorize the information from the big data. PCA di...

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Vydané v:	2020 International Conference on Smart Electronics and Communication (ICOSEC) s. 482 - 486
Hlavní autori:	Marichamy, V. Santhana, Natarajan, V.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2020
Predmet:	Accuracy Big Data Clustering algorithms Clustering Tme Conferences Execution Time F-Socre Measure HDFS Partitioning algorithms PCA Perturbation methods Precision Principal component analysis Privacy Preserving Security
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