Free Delivery Over $100
|
|
|||
|
||||
OverviewSmart 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 Full Product DetailsAuthor: Kuan-Ching Li (Providence University, Taiwan) , Laurence T. Yang (St. Francis Xavier University, Canada) , Qingchen Zhang , Beniamino Di Martino (Universita della Campania, Italy)Publisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.408kg ISBN: 9781138545588ISBN 10: 1138545589 Pages: 428 Publication Date: 13 March 2019 Audience: College/higher education , General/trade , Tertiary & Higher Education , General Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsThe 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 Author InformationKuan-Ching Li, Beniamino Di Martino, Laurence T. Yang, Qingchen Zhang Tab Content 6Author Website:Countries AvailableAll regions |
||||
