Socioeconomic development has drawn increasing attention in academia, industries, and governments. The relationship between big data and its technologies and socioeconomic development has drawn certain attention in academia. Socioeconomic development depends not only on big data, but also on big data technologies. However, the relationship between big data and socioeconomic development is not adequately covered in current research. The Handbook of Research on Driving Socioeconomic Development With Big Data provides an original and innovative understanding of and insight into how the proposed theories, technologies, and methodologies of big data can improve socioeconomic development and sustainable development in terms of business and services, healthcare, the internet of everything, sharing economy, and more. Covering topics such as corporate social responsibility, management applications, and process mining, this major reference work is an excellent resource for data scientists, business leaders and executives, IT professionals, government officials, economists, sociologists, librarians, students, researchers, and academicians.
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Dr. Zhaohao Sun is currently a full professor of Information Technology, at the PNG University of Technology and an adjunct professor at Hebei University of Science & Technology and Chongqing Normal University, China. He graduated from Bond University, Australia, Brandenburg Technical University Cottbus, Germany, and Hebei University, China with Ph.D., MSc (Dipl.-Math.), MSc, and BSc, respectively. He used to an adjunct professor at the Federation University Australia, and a full professor of Hebei Normal Technology and held academic positions at RWTH Aachen and TU Cottbus, Germany; Bond University, University of Wollongong and University of Ballarat, Australia. Dr Sun has authored 10 books and 170+ refereed research paper publications, completed 30+ research grants, and lectured 46+ different courses for undergraduate/postgraduate students in Australia, China, and PNG. Prof. Sun is an editor or associate editor of five international journals. His current research interests include big data analytics, intelligent analytics, business intelligence, artificial intelligence, and data science. He is a senior member of ACS, and a distinguished member of AIS, and a member of ACM & IEEE.
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Hardback. Etat : New. Socioeconomic development has drawn increasing attention in academia, industries, and governments. The relationship between big data and its technologies and socioeconomic development has drawn certain attention in academia. Socioeconomic development depends not only on big data, but also on big data technologies. However, the relationship between big data and socioeconomic development is not adequately covered in current research.Driving Socioeconomic Development With Big Data: Theories, Technologies, and Applications provides an original and innovative understanding of and insight into how the proposed theories, technologies, and methodologies of big data can improve socioeconomic development and sustainable development in terms of business and services, healthcare, the internet of everything, sharing economy, and more. Covering topics such as corporate social responsibility, management applications, and process mining, this premier reference source is an excellent resource for data scientists, business leaders and executives, IT professionals, government officials, economists, sociologists, librarians, students, researchers, and academicians. N° de réf. du vendeur LU-9781668459591
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Hardback. Etat : New. Socioeconomic development has drawn increasing attention in academia, industries, and governments. The relationship between big data and its technologies and socioeconomic development has drawn certain attention in academia. Socioeconomic development depends not only on big data, but also on big data technologies. However, the relationship between big data and socioeconomic development is not adequately covered in current research.Driving Socioeconomic Development With Big Data: Theories, Technologies, and Applications provides an original and innovative understanding of and insight into how the proposed theories, technologies, and methodologies of big data can improve socioeconomic development and sustainable development in terms of business and services, healthcare, the internet of everything, sharing economy, and more. Covering topics such as corporate social responsibility, management applications, and process mining, this premier reference source is an excellent resource for data scientists, business leaders and executives, IT professionals, government officials, economists, sociologists, librarians, students, researchers, and academicians. N° de réf. du vendeur LU-9781668459591
Quantité disponible : Plus de 20 disponibles