| 期刊全稱 | Big-Data Analytics and Cloud Computing | | 期刊簡(jiǎn)稱 | Theory, Algorithms a | | 影響因子2023 | Marcello Trovati,Richard Hill,Lu Liu | | 視頻video | http://file.papertrans.cn/186/185760/185760.mp4 | | 發(fā)行地址 | 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, espe | | 圖書封面 |  | | 影響因子 | .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.. | | Pindex | Book 2015 |
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