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Research Journal of Pharmacy and Technology
Year : 2017, Volume : 10, Issue : 8
First page : ( 2677) Last page : ( 2684)
Print ISSN : 0974-3618. Online ISSN : 0974-360X.
Article DOI : 10.5958/0974-360X.2017.00476.0

A Survey on effective similarity Search Models and Techniques for Big data Processing in Healthcare System

Sundari P. Shanmuga*, Dr. Subaji M., Dr. Karthikeyan J.

School of Computer Science and Engineering, VIT University, Vellore, Tamil Nadu. India

*Corresponding Author E-mail: sundari.sigamani@vit.ac.in

Online published on 26 March, 2018.

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.

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Keywords

Big data, Similarity search, Healthcare systems, Models, Approaches.

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