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Book synopsis

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.§

Book details

Book category Books in English Computing & information technology Computer science Mathematical theory of computation

• Full title: Big-Data Analytics and Cloud Computing
• Subtitle: Theory, Algorithms and Applications
• Author: Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu
• Language: English
• Binding: Hardback
• Number of pages: 169
• EAN: 9783319253114
• ISBN: 3319253115
• ID: 09535536
• Publisher: Springer International Publishing AG
• Weight: 438 g
• Dimensions: 164 × 245 × 16 mm
• Date of publishing: 13. January 2016

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