Computational intelligence for multimedia big data on the cloud with engineering applications

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 res...

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Bibliographic Details
Other Authors: Sangaiah, Arun Kumar, 1981- (Editor), Zhang, Zhiyong, (Editor), Sheng, Quan Z., (Editor)
Format: eBook
Language: English
Published: London : Academic Press, [2018]
Series: Intelligent data centric systems.
Subjects:
dolování dat
multimédia
big data
cloud computing
umělá inteligence
data mining
multimedia
artificial intelligence
sborníky
elektronické knihy
papers of several authors
electronic books
ISBN: 9780128133279
9780128133149
Physical Description: 1 online zdroj : ilustrace.

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Table of contents

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245 0 0 |a Computational intelligence for multimedia big data on the cloud with engineering applications /  |c edited by Arun Kumar Sangaiah, Michael Sheng, Zhiyong Zhang. 
264 1 |a London :  |b Academic Press,  |c [2018] 
300 |a 1 online zdroj :  |b ilustrace. 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Intelligent data centric systems 
504 |a Obsahuje bibliografické odkazy a index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity 
520 |a 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.- Resumé vydavatel 
588 0 |a Online resource; title from PDF title page (EBSCO, viewed August 24, 2018). 
590 |a eBooks on EBSCOhost  |b All EBSCO eBooks 
650 0 7 |a dolování dat  |7 ph165954  |2 czenas 
650 0 7 |a multimédia  |7 ph115379  |2 czenas 
650 0 7 |a big data  |7 ph836790  |2 czenas 
650 0 7 |a cloud computing  |7 ph579331  |2 czenas 
650 0 7 |a umělá inteligence  |7 ph116536  |2 czenas 
650 0 9 |a data mining  |2 eczenas 
650 0 9 |a big data  |2 eczenas 
650 0 9 |a multimedia  |2 eczenas 
650 0 9 |a cloud computing  |2 eczenas 
650 0 9 |a artificial intelligence  |2 eczenas 
655 7 |a sborníky  |7 fd163935  |2 czenas 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a papers of several authors  |2 eczenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Sangaiah, Arun Kumar,  |d 1981-  |e editor. 
700 1 |a Zhang, Zhiyong,  |e editor. 
700 1 |a Sheng, Quan Z.,  |e editor. 
776 0 8 |i Print version:  |z 0128133147  |z 9780128133149  |w (OCoLC)1020029799 
830 0 |a Intelligent data centric systems. 
856 4 0 |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1703333&authtype=ip,shib&custid=s3936755  |y Plný text 
942 |2 udc 
992 |c EBOOK-TN  |c EBSCO 
993 |x NEPOSILAT  |y EIZ 

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