| 內容註: |
Managerial Perspectives on Intelligent Big Data Analytics / Zhaohao Sun, Papua New Guinea University of Technology, Papua New Guinea -- Credit Rating Forecasting Using Machine Learning Techniques / Mark Wallis, Bond University, Australia, Kuldeep Kumar, Bond University, Australia, Adrian Gepp, Bond University, Australia -- Optimizing and Enhancing Digital Marketing Techniques in Intellectual Big Data Analytics / Vardan Mkrttchian, HHH University, Australia, Leyla Gamidullaeva, Penza State University, Russian Federation -- The Big Data and High-performance computing,Sliding Mode Control with Intellectual Agents are Digital Tools: For Corporate Social Responsibility in Digital Marketing / Vardan Mkrttchian, HHH University, Australia, Yulia Vertakova, Southwest State University, Russian Federation -- Emerging Trends and Perspectives for Digital Entrepreneurship Development Using Big Data Analytics / Leyla Gamidullaeva, Penza State University, PSU, Russian Federation, Vardan Mkrttchian, HHH University, Australia, Sergej Vasin, Penza State University, Russian Federation -- Analytical Capabilities and Managerial Perspectives of Hybrid Intelligence / Alexander Ryjov, Lomonosov Moscow State University, Russian Federation -- A Global Perspective on Data Analytics in Mobile Healthcare / Rhoda C. Joseph, Penn State Harrisburg, USA, -- Building an Analytics culture within business / Soraya Sedkaoui, University Khemis Miliana, Algeria -- Intelligent Big Data Analytics: A Managerial Perspective / Zhaohao Sun, Papua New Guinea University of Technology, Papua New Guinea -- Patent strategy in the Era of Digital Transformation / Elona Marku, University of Cagliari, Manuel Castriotta, University of Cagliari, Maria Chiara Di Guardo, University of Cagliari, Michela Loi, University of Cagliari -- Remote Patient Monitoring for Health Care: a Big Data Challenge / Andrew Stranieri, Federation University, Australia, Venki Balasubramanian, Federation University, Australia. |
| 摘要、提要註: |
"This book conveys the foundations, technologies, thoughts, and methods of intelligent big data analytics with applications to scientists, engineers, educators and university students, business, service and management professionals, policy makers and decision makers and others who have interest in intelligent big data, analytics, AI, and digital transformation"-- |