Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more.

Features

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• Presents state-of-the-art research in big data and smart computing
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• Provides a broad coverage of topics in data science and machine learning
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• Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business
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• Covers data security and privacy, including AI techniques
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• Includes contributions from leading researchers
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About the Author
Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang, Qingchen Zhang

Reviews

"The book is a great resource for all those interested in learning about the interplay between "smart data" and a number of research themes: algorithms, applications, ethical issues, security and data privacy, among many other topics. The book will be very useful for researchers, practitioners, and graduate students; a welcome addition to the Smart Data literature. The book is a milestone in this fast-moving field."
- Professor Albert Y. Zomaya, Sydney University, Australia

"This book provides a precious set of high-level research contributions for learning how to extract Smart Data from Big Data. Novel intelligent techniques, models, algorithms and applications are presented and discussed. Young researchers and professionals will benefit from the book contents to learn new topics and investigate new research issues. From infrastructure and algorithms to applications and ethics, Smart Data are illustrated and put in practice."

- Professor Domenico Talia, Universita della Calabria, Italy

Book Information
ISBN 9780367656478
Author Kuan-Ching Li
Format Paperback
Page Count 410
Imprint Chapman & Hall/CRC
Publisher Taylor & Francis Ltd
Weight(grams) 790g