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...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Academic Press
[2018]
|
| Schriftenreihe: | Intelligent data centric systems
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FLA01 URL des Erstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 online resource illustrations |
| ISBN: | 9780128133279 0128133279 |
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| discipline | Informatik |
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| indexdate | 2024-07-10T08:16:40Z |
| institution | BVB |
| isbn | 9780128133279 0128133279 |
| language | English |
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| series2 | Intelligent data centric systems |
| spelling | Computational intelligence for multimedia big data on the cloud with engineering applications edited by Arun Kumar Sangaiah, Michael Sheng, Zhiyong Zhang London Academic Press [2018] 1 online resource illustrations txt rdacontent c rdamedia cr rdacarrier Intelligent data centric systems Includes bibliographical references and index 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 COMPUTERS / General bisacsh Big data fast Cloud computing fast Computational intelligence fast Multimedia data mining fast Computational intelligence Cloud computing Big data Multimedia data mining Sangaiah, Arun Kumar 1981- edt Zhang, Zhiyong edt Sheng, Quan Z. edt Erscheint auch als Druck-Ausgabe 9780128133149 Erscheint auch als Druck-Ausgabe 0128133147 https://www.sciencedirect.com/science/book/9780128133149 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Computational intelligence for multimedia big data on the cloud with engineering applications COMPUTERS / General bisacsh Big data fast Cloud computing fast Computational intelligence fast Multimedia data mining fast Computational intelligence Cloud computing Big data Multimedia data mining |
| title | Computational intelligence for multimedia big data on the cloud with engineering applications |
| title_auth | Computational intelligence for multimedia big data on the cloud with engineering applications |
| title_exact_search | Computational intelligence for multimedia big data on the cloud with engineering applications |
| title_full | Computational intelligence for multimedia big data on the cloud with engineering applications edited by Arun Kumar Sangaiah, Michael Sheng, Zhiyong Zhang |
| title_fullStr | Computational intelligence for multimedia big data on the cloud with engineering applications edited by Arun Kumar Sangaiah, Michael Sheng, Zhiyong Zhang |
| title_full_unstemmed | Computational intelligence for multimedia big data on the cloud with engineering applications edited by Arun Kumar Sangaiah, Michael Sheng, Zhiyong Zhang |
| title_short | Computational intelligence for multimedia big data on the cloud with engineering applications |
| title_sort | computational intelligence for multimedia big data on the cloud with engineering applications |
| topic | COMPUTERS / General bisacsh Big data fast Cloud computing fast Computational intelligence fast Multimedia data mining fast Computational intelligence Cloud computing Big data Multimedia data mining |
| topic_facet | COMPUTERS / General Big data Cloud computing Computational intelligence Multimedia data mining |
| url | https://www.sciencedirect.com/science/book/9780128133149 |
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