Publication Type : Conference Proceedings
Source : Data Intensive Computing Applications for Big Data, IOS Press, 2018
Url : https://ebooks.iospress.nl/DOI/10.3233/978-1-61499-814-3-359
Campus : Amaravati
School : School of Computing
Verified : No
Year : 2015
Abstract : The objective of this chapter will be a key reference for researchers in the field of HIV/AIDS research with huge amount of data collection across the world with medical and all general information related to HIV/AIDS research. It overcomes (replaces) the existing system huge data management, processing problems with Big Data Analytics. This chapter provides the current HIV/AIDS research activities, issues and solutions, government policies and census information across the world. Also provides and concludes the information regarding HIV/AIDS Big Data Analytics, Models, Security and Privacy features, Big Data management techniques, quick decision making approach, Algorithms for the Prediction, Classification, Visualization, Clustering, Optimization and Distributed Processing problems and future scope.
Cite this Research Publication : Ramasamy V, Gomathi B, J. L. Sarkar, C. R. Panigrahi and B. Pati, “Big Data Analytics for Prevention and Control of HIV/AIDS”, Data Intensive Computing Applications for Big Data, IOS Press, 2018, DOI: 10.3233/978-1-61499-814-3-359, pp. 359 - 385, 2018.