Unstructured Data: Qualitative Analysis
R S M Lakshmi Patibandla, SanthiSri Kurra, PrasadAnde, N.Veeranjaneyulu
Corresponding Author : R S M Lakshmi Patibandla,
Assistant Professor, Department of IT, VFSTR University, India.
Email ID : email@example.com
Received : 2015-07-17 Accepted : 2015-08-27 Published : 2015-09-11
Abstract : Major research is taking place in analyzing and processing of massive amounts of data produced by different organizations. The lumps of data received must be stored and different techniques are needed to visualize the numerical statistics. We have to focus on factors related to performance levels. This paper provides big data disaster management and different admission policy techniques to analyze the performance based on socio-economic factors and educational achievements along with comparison of admission policies.
Keywords : visualize, policy, socio-economic, performance, admission, management
Citation : R S M Lakshmi Patibandla et al. (2015). Unstructured Data: Qualitative Analysis. J. of Computation in Biosciences and Engineering. V2I3 DOI : 10.5281/zenodo.898067
Copyright : © 2015 R S M Lakshmi Patibandla. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Journal of Computation in Biosciences and Engineering
ISSN : 2348-7321
Volume 2 / Issue 3
ScienceQ Publishing GroupDownload Article
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