The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming.

Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools.

The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies
Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs
Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies
Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning
Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT

Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

L'autore:

Kai Hwang, PhD is Professor of Electrical Engineering and Computer Science at University of Southern California, USA. He also serves as an EMC-endowed visiting Chair Professor at Tsinghua University, China. He specializes in computer architecture, wireless Internet, cloud computing and network security.

Min Chen, PhD is Professor of Computer Science and Technology, Huazhong University of Science and Technology, China. His work focuses on IoT, mobile cloud, body area networks, healthcare big-data and cyber physical systems.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Descrizione libreria

Textbooks_Source is committed to selling new and used books for less money. We offer fast shipping & handling and dedicated customer service support to ensure that you have a great experience as our customer. Thank you for shopping with us!

Visita la pagina della libreria

Informazioni sull?azienda del venditore

TXTB.com, LLC
2711 W. Ash St., Columbia, MO, 65203, U.S.A.

Condizioni di vendita:

We guarantee the condition of every book as it’s described on the AbeBooks websites. If you are not satisfied with your purchase or if the order has not arrived yet, you are eligible for a refund within 30 days of the estimated delivery date. If you have any questions about an order, please us the “Ask Bookseller a Question” link to contact us and we will respond within 2 business days.

Condizioni di spedizione:

All orders ship from our warehouse, centrally located in Columbia, Missouri. Orders usually ship on the same or next business day (Monday – Friday).

Informazioni dettagliate sul venditore

Metodi di pagamento
accettati dalla libreria