Big Data Analytics: Views from Statistical and Computational Perspectives

Saumyadipta Pyne (), B. L. S. Prakasa Rao () and S. B. Rao ()
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Saumyadipta Pyne: Indian Institute of Public Health
B. L. S. Prakasa Rao: C.R. Rao Advanced Institute of Mathematics, Statistics and Computer Science
S. B. Rao: C.R. Rao Advanced Institute of Mathematics, Statistics and Computer Science

A chapter in Big Data Analytics, 2016, pp 1-10 from Springer

Abstract: Abstract Without any doubt, the most discussed current trend in computer science and statistics is BIG DATA. Different people think of different things when they hear about big data. For the statistician, the issues are how to get usable information out of datasets that are too huge and complex for many of the traditional or classical methods to handle. For the computer scientist, big data poses problems of data storage and management, communication, and computation. For the citizen, big data brings up questions of privacy and confidentiality. This introductory chapter touches some key aspects of big data and its analysis. Far from being an exhaustive overview of this fast emerging field, this is a discussion on statistical and computational views that the authors owe to many researchers, organizations, and online sources.

Keywords: Concept Drift; Unstructured Data; Hadoop Distribute File System; Differential Privacy; Data Stream Management System (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-81-322-3628-3_1

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