Название: Smart Data : State-of-the-Art Perspectives in Computing and Applications Автор: Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang
Издательство: Chapman and Hall/CRC
Год: 2019
Страниц: 428
Язык: английский
Формат: pdf (true)
Размер: 18.8 MB
Smart dаta: 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, Artificial Intelligence (AI) for networking, smart data Deep Learning (DL), Big Data capture and representation, Artificial Intelligence 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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