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...

Full description

Bibliographic Details

Published in:	2020 International Conference on Smart Electronics and Communication (ICOSEC) pp. 482 - 486
Main Authors:	Marichamy, V. Santhana, Natarajan, V.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2020
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!