Computational intelligence for multimedia big data on the cloud with engineering applications / edited by Arun Kumar Sangaiah, School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India, Michael Sheng, Department of Computing, Macquarie University, Sydney, Australia, Zhiyong Zhang, Department of Computer Science, Henan University of Science and Technology, Luoyang, China ; series editor Fatos Xhafa, Universitat Politècnica de Catalunya, Spain.
| Other author | Sangaiah, Arun Kumar, 1981- |
| Other author | Zhang, Zhiyong. |
| Other author | Sheng, Quan Z. |
| Format | Electronic |
| Publication Info | London, United Kingdom ; San Diego, CA, United States : Academic Press is an imprint of Elsevier, [2018] |
| Description | xxii, 340 pages ; 24 cm. |
| Supplemental Content | Full text available from eBook - Engineering 2018 |
| Subjects |
| Series | Intelligent data centric systems Intelligent data centric systems. ^A1334749 |
| Abstract | 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. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2018950609 |
| ISBN | 9780128133149 (pbk. ; alk. paper) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |