Big-Data Analytics For Cloud Iot And Cognitive Computing Hardcover

Kai Hwang

This book blends together big-data theories with emerging technologies on smart clouds over the Internet of Things (IoT). Data analysts and computer scientists must learn how to use clouds and IoT effectively to discover new knowledge, or to make critical decisions intelligently. This book aims to close the gaps between these learning groups, and encourages mutual learning and collaborative work between data scientists and cloud programmers. The world-renowned authors take a technological fusion approach to integrating big-data theories, cloud design principles, IoT sensing, machine learning, data analytics, and Hadoop and Spark programming in a single volume. The book contains material from their established research track records and several fully tested graduate-level courses which they have taught at USC and HUST, respectively. The main theme of this book is to promote effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning, and analytics systems.

1119247020

English

John Wiley & Sons Inc

April 21, 2017

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.