Marcello Trovati (ed.); Richard Hill (ed.); Ashiq Anjum (ed.); Shao Ying Zhu (ed.); Lu Liu (ed.) Springer (2016) Saatavuus: Tilaustuote Kovakantinen kirja
Marcello Trovati (ed.); Richard Hill (ed.); Ashiq Anjum (ed.); Shao Ying Zhu (ed.); Lu Liu (ed.) Springer (2018) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Springer Sivumäärä: 169 sivua Asu: Kovakantinen kirja Julkaisuvuosi: 2016, 19.01.2016 (lisätietoa) Kieli: Englanti
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.
