Springer Intelligent Computing and Innovation on Data Science: Proceedings of ICTIDS 2019: 118 (Lecture Notes in Networks and Systems, 118)

This book covers both basic and high-level concepts relating to the intelligent computing paradigm and data sciences in the context of distributed computing, big data, data sciences, high-performance computing and Internet of Things. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware systems in high-performance computing and IoT applications. In this context, the book serves as a useful guide for industry practitioners, and also offers beginners a comprehensive introduction to basic and advanced areas of intelligent computing. Further, it provides a platform for researchers, engineers, academics and industrial professionals around the globe to showcase their recent research concerning recent trends. Presenting novel ideas and stimulating interesting discussions, the book appeals to researchers and practitioners working in the field of information technology and computer science. From the Back Cover This book covers both basic and high-level concepts relating to the intelligent computing paradigm and data sciences in the context of distributed computing, big data, data sciences, high-performance computing and Internet of Things. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware systems in high-performance computing and IoT applications. In this context, the book serves as a useful guide for industry practitioners, and also offers beginners a comprehensive introduction to basic and advanced areas of intelligent computing. Further, it provides a platform for researchers, engineers, academics and industrial professionals around the globe to showcase their recent research concerning recent trends. Presenting novel ideas and stimulating interesting discussions, the book appeals to researchers and practitioners working in the field of information technology and computer science. About the Author Sheng-Lung Peng is a full Professor of the Department of Computer Science and Information Engineering at National Dong Hwa University, Taiwan. He received the BS degree in Mathematics from National Tsing Hua University, and the MS and PhD degrees in Computer Science and Information Engineering from the National Chung Cheng University and National Tsing Hua University, Taiwan, respectively. His research interests are in designing and analyzing algorithms for Combinatorics, Bioinformatics, and Networks. Dr. Peng has edited several special issues at journals, such as Soft Computing, Journal of Internet Technology, Journal of Computers and MDPI Algorithms. He is also a reviewer for more than 10 journals such as IEEE Transactions on Emerging Topics in Computing, Theoretical Computer Science, Journal of Computer and System Sciences, Journal of Combinatorial Optimization, Journal of Modelling in Management, Soft Computing, Information Processing Letters, Discrete Mathematics, Discrete Applied Mathematics, Discussions Mathematicae Graph Theory, and so on. He published more than 100 international conferences and journal papers. Dr. Peng is now the dean of the Library and Information Services Office of NDHU and an honorary Professor of Beijing Information Science and Technology University of China. He is a secretary general of Institute of Information and Computing Machinery (IICM) in Taiwan. He is also a director of the ACM-ICPC Contest Council for Taiwan. Recently, he is elected as a supervisor of Chinese Information Literacy Association and of Association of Algorithms and Computation Theory (AACT). He has been serving as a secretary general of Taiwan Association of Cloud Computing (TACC) from 2011-2015 and of AACT from 2013-2016. He was also a convener of the East Region of Service Science Society of Taiwan from 2014-2016. Le Hoang Son obtained the PhD degree on Mathematics – Informatics at VNU University of Science, Vietnam National Universi