Big-Data Analytics and Cloud Computing (Record no. 56265)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04000nam a22005415i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-25313-8 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421111853.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160112s2015 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319253138 |
| -- | 978-3-319-25313-8 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 005.55 |
| 245 10 - TITLE STATEMENT | |
| Title | Big-Data Analytics and Cloud Computing |
| Sub Title | Theory, Algorithms and Applications / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XVI, 169 p. 67 illus. in color. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This important and timely text/reference reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: Describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures Examines the applications and implementations that utilize big data in cloud architectures Surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions Identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches Provides relevant theoretical frameworks, empirical research findings, and numerous case studies Discusses real-world applications of algorithms and techniques to address the challenges of big datasets This authoritative volume will be of great interest to researchers, enterprise architects, business analysts, IT infrastructure managers and application developers, who will benefit from the valuable insights offered into the adoption of architectures for big data and cloud computing. The work is also suitable as a textbook for university instructors, with the outline for a possible course structure suggested in the preface. The editors are all members of the Computing and Mathematics Department at the University of Derby, UK, where Dr. Marcello Trovati serves as a Senior Lecturer in Mathematics, Dr. Richard Hillas a Professor and Head of the Computing and Mathematics Department, Dr. Ashiq Anjum as a Professor of Distributed Computing, Dr. Shao Ying Zhu as a Senior Lecturer in Computing, and Dr. Lu Liu as a Professor of Distributed Computing. The other publications of the editors include the Springer titles Guide to Security Assurance for Cloud Computing, Guide to Cloud Computing and Cloud Computing for Enterprise Architectures. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Mathematics. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Trovati, Marcello. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Hill, Richard. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Anjum, Ashiq. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Zhu, Shao Ying. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Liu, Lu. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-25313-8 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2015. |
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| -- | text |
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| -- | computer |
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| -- | rdamedia |
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| -- | online resource |
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| -- | text file |
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| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer communication systems. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical statistics. |
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| -- | Computer science |
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| -- | Computer simulation. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Probability and Statistics in Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Communication Networks. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Simulation and Modeling. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Math Applications in Computer Science. |
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No items available.