Data Science and Big Data Analytics ACM-WIR 2018 /

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 e...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Mishra, Durgesh Kumar (Editor), Yang, Xin-She (Editor), Unal, Aynur (Editor)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Lecture Notes on Data Engineering and Communications Technologies, 16
Subjects:
Computational intelligence.
Big data.
Data mining.
Data protection.
Computational Intelligence.
Big Data.
Data Mining and Knowledge Discovery.
Data and Information Security.
Online Access:Full-text access
Description
Summary: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.
Physical Description:XXIV, 406 p. 152 illus., 95 illus. in color. online resource.
ISBN:9789811076411
ISSN:2367-4520 ;
DOI:10.1007/978-981-10-7641-1

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