Overview
- Introduces tools for data analytics, machine learning for data analytics, and for exploring and visualizing data
- Suitable as both a practical guide and a reference for researchers and students
- Provides supplementary material, in the form of working source code, on an associated website
- Includes supplementary material: sn.pub/extras
Part of the book series: Computer Communications and Networks (CCN)
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Table of contents (19 chapters)
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Introduction to Data Analytics
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Machine Learning
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Advanced Analytics
Keywords
About this book
Presenting data analytics from a practice-oriented viewpoint, the book discusses useful tools and approaches for data analytics, supported by concrete code examples. The book is a valuable reference resource for graduate students and professionals in related fields, and is also of interest to general readers with an understanding of data analytics.
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Authors and Affiliations
About the authors
Dr. Gaddadevara Matt Siddesh is an associate professor at the Department of Information Science and Engineering at Ramaiah Institute of Technology, Bangalore, India.
Srinidhi Hiriyannaiah is an assistant professor at the Department of Computer Science and Engineering at Ramaiah Institute of Technology, Bangalore, India.
Bibliographic Information
Book Title: Network Data Analytics
Book Subtitle: A Hands-On Approach for Application Development
Authors: K. G. Srinivasa, Siddesh G. M., Srinidhi H.
Series Title: Computer Communications and Networks
DOI: https://doi.org/10.1007/978-3-319-77800-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-77799-3Published: 14 May 2018
Softcover ISBN: 978-3-030-08544-5Published: 26 December 2018
eBook ISBN: 978-3-319-77800-6Published: 26 April 2018
Series ISSN: 1617-7975
Series E-ISSN: 2197-8433
Edition Number: 1
Number of Pages: XXV, 398
Number of Illustrations: 38 b/w illustrations, 117 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Big Data, Visualization, Artificial Intelligence