Text

Big Data Analytics : Methods and Applications

---

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.

---

Availability

No copy data

Detail Information

Series Title

-

Call Number

310

Publisher

New Delhi : Springer New Delhi., 2016

Collation

-

Language

English

ISBN/ISSN

978-81-322-3628-3

Classification

310

Content Type

-

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

STATISTIKA

Specific Detail Info

-

Statement of Responsibility

Saumyadipta Pyne, B.L.S. Prakasa Rao, S.B. Rao

Other Information

Cataloger

ratna

Source

https://link.springer.com/10.1007/978-3-319-27057-9

Validator

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment