Kuan-Ching (Hrsg.) Li
Smart Data
State-of-the-Art Perspectives in Computing and Applications
Ebook (EPUB Format)
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 mor…
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Beschreibung
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.FeaturesPresents state-of-the-art research in big data and smart computingProvides a broad coverage of topics in data science and machine learningCombines computing methods with domain knowledge and a focus on applications in science, engineering, and businessCovers data security and privacy, including AI techniquesIncludes contributions from leading researchers
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Produktdetails
Weitere Autoren: Di Martino, Beniamino (Hrsg.) / Yang, Laurence T. (Hrsg.) / Zhang, Qingchen (Hrsg.)
- ISBN: 978-0-429-01802-2
- EAN: 9780429018022
- Produktnummer: 30715044
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 428 S.
- Plattform: EPUB
- Masse: 51'530 KB
- Auflage: 1. Auflage
- Abbildungen: 97 schwarz-weiße Abbildungen, 40 schwarz-weiße Tabellen
Über den Autor
119121813
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