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Sinopsis
Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design.
The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness.
- Describes the frontier of service science and motivates a discussion among readers on a multidisciplinary subject areas that explores the design of smart service
- Illustrates the concepts, framework, and application of big data and smart service systems
- Demonstrates the crucial role of smart service to promote the transformation of the regional and global economy
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Acerca de los autores
Dr. Xiwei Liu is an associate professor in the State Key Laboratory of Management and Control for Complex Systems Automation Institute, Chinese Academy of Sciences. In 2006, he received Ph.D. degree in human factor engineering from the System Control and Management Laboratory, Nara Institute of Science and Technology, Japan. Then he worked there as a post doctor and assistant professor. From 2007 to 2009, he worked as a system engineer in Japan supplying research and development, consultant services of management information system for Toyota Motor Corporation, Japan Display Inc. (Hitachi Displays, Ltd.), Bank of Tokyo-Mitsubishi UFJ, etc. Since 2009, he has joined the State Key Laboratory of Management and Control for Complex Systems. His research interest covers sensor networks, human factor engineering, modeling and simulation of operator or organizational behavior, management information systems, cloud computing, etc. In recent years, he has published about 50 papers in academic journals and conferences.
Dr. Rangachari Anand is a research staff member in the Business Service Solution department at the IBM T. J. Watson Research Center in New York. He completed his PhD in Computer Science at Syracuse University. His dissertation quantified the advantage of using modular neural networks for classification tasks. He has worked in a number of areas ranging from distributed systems to artificial intelligence and cognitive science. In the past few years, he has worked on applying advanced artificial technologies both internally to improve IBM’s service business and to improve the productivity, profitability and quality of IBM’s clients at a global level. He has received several technical achievement awards for his work. He has been prolific in publishing research work in books, papers in top academic journals, conferences and workshops. He has led the filing of more than 30 patent applications in the US and other countries
Dr. Gang Xiong received his Ph.D. degrees in Control Science and Engineering in 1996 from Shanghai Jiao Tong University, CHINA. From 1996 to 1998, he worked as Post doctor and Associate Professor with the Institute of Industrial Process Control, Zhejiang University, CHINA. From 1998 to 2007, he successively worked with Automation and Control Institute, Tampere University of Technology, FINLAND (1998-2001), Nokia Corporation, FINLAND (2001-2007), and Accenture and Chevron, USA (2007). In 2008, he worked as Deputy Director with Informatization Office, CAS, CHINA. In 2009, he started his current work as Professor of State Key Laboratory of Management and Control of Complex Systems, Institute of Automation, CAS, CHINA. In 2011, he became Deputy Director of Beijing Engineering Research Center for Intelligent Systems and Technology, Deputy Director of Cloud Computing Center of Chinese Academy of Sciences. He is an IEEE Senior member, INFORMS member, INCOSE member, Committee member of Chinese Association of Automation, MARQUIS WHO'S WHO in the world 2007, General Chair of IEEE SOLI 2011, SOLI 2012, and SOLI 2013 etc.
Dr. Xiuqin Shang is an assistant researcher in the State Key Laboratory of Management and Control for Complex Systems Automation Institute, Chinese Academy of Sciences. In 2005, she completed her bachelor’s degree from the Industrial Automation Branch of Information and Control Engineering Department in China University of Petroleum. In 2010, she earned her PhD degree of engineering from Zhejiang University, majoring in the Control Science and Control Engineering. Her main research area of interest is in the complex system modeling and optimization, social manufacturing, petrochemical industrial processing modeling and optimization, and so on. She was the chair of Award Committee in 2012 SOLI and 2013 SOLI. She has published about 20 research papers in key journals and conferences.
Dr. Xiaoming Liu works at Beijing Key Lab of Urban Intelligent Traffic Control Tech of North China University of Technology. In 2004, he completed his doctorate degree from Chinese Academy of Sciences, majoring in control theory and control engineering of institute of automation. In recent years, he has presided more than ten projects, such as the State Natural Science Foundation, the National High-tech Research and Development Program (863 Torch Program), National Science and Technology Support Plan Corpus, Science and Technology Plan Projects of Beijing Commission of Science and Technology, Beijing Outstanding Talent Training Projects, etc. He has published more than 40 papers in such publications as China Journal of Highway, Journal of Transportation Systems Engineering and Information Technology, Engineering Science of Journal of Jilin University.
De la contraportada
The Series in Intelligent Systems comprises titles that present state-of-the art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications.
Big Data and Smart Service Systems is a multidisciplinary exploration of the application of Big Data to a wide range of systems/areas such as: government departments, public health, business, social management, public safety, intelligent transportation, and the education industry. This book covers the theoretical basis of Big Data and smart service systems as well as its many applications including: data acquisition, smart cities, business decision-making support, and smart service design.
Chapters Include:
Secure provable data possession for big data storage
Smart cities, urban sensing, and big data: mining geolocation in social networks
Predicting financial risk from revenue reports
Behavior modeling and its application on emergency management parallel system for chemical plants
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Big Data and Smart Service Systems
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Academic Press 2016-11-24, 2016
ISBN 10: 0128120134
ISBN 13: 9780128120132
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Big Data and Smart Service Systems
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Elsevier Science Publishing Co Inc, 2016
ISBN 10: 0128120134
ISBN 13: 9780128120132
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness. Describes the frontier of service science and motivates a discussion among readers on a multidisciplinary subject areas that explores the design of smart service Illustrates the concepts, framework, and application of big data and smart service systems Demonstrates the crucial role of smart service to promote the transformation of the regional and global economy 232 pp. Englisch. Nº de ref. del artículo: 9780128120132
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Big Data and Smart Service Systems
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Big Data and Smart Service Systems
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ISBN 10: 0128120134
ISBN 13: 9780128120132
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