1.

Record Nr.

UNINA9910583315803321

Titolo

Computational intelligence for multimedia big data on the cloud with engineering applications / / edited by Arun Kumar Sangaiah, Michael Sheng, Zhiyong Zhang

Pubbl/distr/stampa

London, United Kingdom : , : Academic Press, an imprint of Elsevier, , [2018]

©2018

ISBN

0-12-813327-9

0-12-813314-7

Edizione

[First edition.]

Descrizione fisica

1 online resource (364 pages) : illustrations

Collana

Intelligent Data Centric Systems

Disciplina

006.3

Soggetti

Computational intelligence

Cloud computing

Big data

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis



and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful.