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...

Ful tanımlama

Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Mishra, Durgesh Kumar (Editör), Yang, Xin-She (Editör), Unal, Aynur (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:Lecture Notes on Data Engineering and Communications Technologies, 16
Konular:
Computational intelligence.
Big data.
Data mining.
Data protection.
Computational Intelligence.
Big Data.
Data Mining and Knowledge Discovery.
Data and Information Security.
Online Erişim:Full-text access
Diğer Bilgiler
Özet: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.
Fiziksel Özellikler:XXIV, 406 p. 152 illus., 95 illus. in color. online resource.
ISBN:9789811076411
ISSN:2367-4520 ;
DOI:10.1007/978-981-10-7641-1

Benzer Materyaller