{"product_id":"9781119247029","title":"Big-Data Analytics for Cloud, IoT and Cognitive Computing","description":"\u003ch1\u003eBig-Data Analytics for Cloud, IoT and Cognitive Computing\u003c\/h1\u003e\u003ch3\u003eKai Hwang | Min Chen\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eThe definitive guide to successfully \u003c\/b\u003e\u003cb\u003eintegrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe 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.\u003c\/p\u003e \u003cp\u003ePart 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies\u003c\/li\u003e \u003cli\u003eCovers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs\u003c\/li\u003e \u003cli\u003eOffers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies\u003c\/li\u003e \u003cli\u003eFully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning\u003c\/li\u003e \u003cli\u003eFeatures a companion website with an instructor manual and PowerPoint slides www.wiley.com\/go\/hwangIOT\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eBig-Data Analytics for Cloud, IoT and Cognitive Computing\u003c\/i\u003e 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. \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e   \u003cp\u003e\u003cb\u003e Kai Hwang, PhD\u003c\/b\u003e 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.   \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e Min Chen, PhD\u003c\/b\u003e 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.   \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e21 August 2017\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119247029\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e432\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e30.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44380501999756,"sku":"9781119247029","price":105.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119247029_8d367441-3ab3-48af-9800-c72c15158e52.jpg?v=1780102371","url":"https:\/\/lateknightbooks.com\/products\/9781119247029","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}