Author(s): P. Shanmuga Sundari, M. Subaji, J. Karthikeyan

Email(s): sundari.sigamani@vit.ac.in

DOI: 10.5958/0974-360X.2017.00476.0   

Address: P. Shanmuga Sundari*, Dr. M. Subaji, Dr. J. Karthikeyan
School of Computer Science and Engineering, VIT University, Vellore, Tamil Nadu. India.
*Corresponding Author

Published In:   Volume - 10,      Issue - 8,     Year - 2017


ABSTRACT:
In traditional DBMS system handled well structured and no two elements occur twice. But more than one occurrence is quite natural in big data processing. Moreover last decades many characteristics (like volume, variety, value) coupled with the data, makes the searching complex for the traditional database system. Effective way of storing the data makes it easier way to processes the data. The main objective of this paper is to find similarity over large data that needs effective and efficient processing of raw data within a satisfactory response time.


Cite this article:
P. Shanmuga Sundari, M. Subaji, J. Karthikeyan. A Survey on effective similarity Search Models and Techniques for Big data Processing in Healthcare System. Research J. Pharm. and Tech. 2017; 10(8): 2677-2684. doi: 10.5958/0974-360X.2017.00476.0

Cite(Electronic):
P. Shanmuga Sundari, M. Subaji, J. Karthikeyan. A Survey on effective similarity Search Models and Techniques for Big data Processing in Healthcare System. Research J. Pharm. and Tech. 2017; 10(8): 2677-2684. doi: 10.5958/0974-360X.2017.00476.0   Available on: https://rjptonline.org/AbstractView.aspx?PID=2017-10-8-46


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RNI: CHHENG00387/33/1/2008-TC                     
DOI: 10.5958/0974-360X 

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