Smart Data: State-of-the-Art Perspectives in Computing and Applications

— —

Kuan-Ching Li (Providence University, Taiwan) Laurence T. Yang (St. Francis Xavier University, Canada)

Smart Data

State-of-the-Art Perspectives in Computing and Applications

Kuan-Ching Li (Providence University, Taiwan), Laurence T. Yang (St. Francis Xavier University, Canada), Qingchen Zhang , Beniamino Di Martino (Universita della Campania, Italy)

$94.99

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Chapman & Hall/CRC
30 September 2020

Computer science

Series: Chapman & Hall/CRC Big Data Series

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

Presents state-of-the-art research in big data and smart computing

Provides a broad coverage of topics in data science and machine learning

Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business

Covers data security and privacy, including AI techniques

Includes contributions from leading researchers

Edited by: Kuan-Ching Li (Providence University Taiwan), Laurence T. Yang (St. Francis Xavier University, Canada), Qingchen Zhang, Beniamino Di Martino (Universita della Campania, Italy)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
Weight: 752g
ISBN: 9780367656478
ISBN 10: 0367656477
Series: Chapman & Hall/CRC Big Data Series
Pages: 410
Publication Date: 30 September 2020
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Paperback
Publisher's Status: Active

Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang, Qingchen Zhang

Reviews for Smart Data: State-of-the-Art Perspectives in Computing and Applications

"""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, Università della Calabria, Italy"