Big-Data Analytics and Cloud Computing : Theory, Algorithms and Applications
Overview
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.
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Details
- ISBN-13: 9783319797670
- ISBN-10: 3319797670
- Publisher: Springer
- Publish Date: March 2018
- Dimensions: 9.21 x 6.14 x 0.4 inches
- Shipping Weight: 0.6 pounds
- Page Count: 169
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