Big-Data Analytics and Cloud Computing
Theory, Algorithms and Applications
Editors: Trovati, M., Hill, R., Anjum, A., Zhu, S.Y., Liu, L. (Eds.)
Free Preview- Discusses and explores theoretical concepts, principles, tools, techniques and deployment models in the context of Big Data
- Focuses on the latest developments in Data Science (aka Analytics) and, especially, their applications to real-world challenges
- Includes numerous cases studies for in-class analysis and assignments
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- About this book
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This book 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.
- About the authors
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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 Hill as 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.
- Table of contents (10 chapters)
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Data Quality Monitoring of Cloud Databases Based on Data Quality SLAs
Pages 3-20
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Role and Importance of Semantic Search in Big Data Governance
Pages 21-35
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Multimedia Big Data: Content Analysis and Retrieval
Pages 37-51
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An Overview of Some Theoretical Topological Aspects of Big Data
Pages 53-64
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Integrating Twitter Traffic Information with Kalman Filter Models for Public Transportation Vehicle Arrival Time Prediction
Pages 67-82
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Table of contents (10 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Big-Data Analytics and Cloud Computing
- Book Subtitle
- Theory, Algorithms and Applications
- Editors
-
- Marcello Trovati
- Richard Hill
- Ashiq Anjum
- Shao Ying Zhu
- Lu Liu
- Copyright
- 2015
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-25313-8
- DOI
- 10.1007/978-3-319-25313-8
- Hardcover ISBN
- 978-3-319-25311-4
- Softcover ISBN
- 978-3-319-79767-0
- Edition Number
- 1
- Number of Pages
- XVI, 169
- Number of Illustrations
- 67 illustrations in colour
- Topics
