Big Data and Smart Service Systems - Liu, Xiwei (Associate professor, State Key Laboratory of Management ; Anand, Rangachari (Business Service Solution Department, IBM T. J. W; Xiong, Gang (Deputy Director, Beijing Engineering Research Center fo
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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. …mehr

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Produktbeschreibung
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.
Autorenporträt
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 academ

ic 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