ENGLISH

Big Data Analytics: Methods and Applications

By Saumyadipta Pyne , B.L.S. Prakasa Rao , S.B. Rao (eds.)

Book information

Publisher
Springer India
Year
2016
ISBN
978-81-322-3626-9, 978-81-322-3628-3
DOI
10.1007/978-81-322-3628-3
Language
english
Format
PDF
Filesize
7 MB (7691124 bytes)
Edition
1
Pages
XII, 276\278
Time added
2016-11-20 09:00:00
and Law;Statistics for Business/Economics/MathematBehavorial ScienceEducationHealth Sciences;Statistics for Social ScienceMedicinePublic PolicyStatistics and Computing/Statistics Programs;Stati

Description

This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome; graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.

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