Data Science and Big Data Analytics - ACM-WIR 2018 (Paperback, 1st ed. 2019)


This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.

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Product Description

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Lecture Notes on Data Engineering and Communications Technologies, 16

Release date

August 2018

Availability

Expected to ship within 10 - 15 working days

First published

2019

Editors

, ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

406

Edition

1st ed. 2019

ISBN-13

978-981-10-7640-4

Barcode

9789811076404

Categories

LSN

981-10-7640-5



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