Smart Data: State-of-the-Art Perspectives in Computing and Applications (Chapman & Hall/CRC Big Data Series) (English Edition)

Smart Data: State-of-the-Art Perspectives in Computing and Applications (Chapman & Hall/CRC Big Data Series) (English Edition)

作者
Kuan-Ching Li、Beniamino Di Martino、Laurence T. Yang、Qingchen Zhang
语言
英语
出版社
Chapman and Hall/CRC
出版日期
2019年3月19日
纸书页数
428页
电子书格式
epub,pdf,mobi,azw3,txt,fb2,djvu
文件大小
22848 KB
下载次数
3027
更新日期
2023-07-13
运行环境
PC/Windows/Linux/Mac/IOS/iPhone/iPad/iBooks/Kindle/Android/安卓/平板
内容简介

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

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