Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications

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.

本書評論了最新的跨學科方法，解決大數據所面臨的挑戰，包括理論概念、尖端技術和實用工具。國際上的大數據科學專家從學術界和工業界提供了啟發性的觀點。主題和特點包括：描述了大數據、預測分析和基於雲架構的創新進展；檢視了在雲架構中利用大數據的應用和實施；調查了提供基於雲的大數據分析功能的架構方法的最新狀況；確定了促進新興商業模式實現的潛在研究方向和技術；提供相關的理論框架、實證研究結果和眾多案例研究；討論了應用算法和技術解決大數據集所面臨挑戰的實際應用。