Data Analytics for Internet of Things Infrastructure / Internet of Things (PDF)
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This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the use of the IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. They discuss how the generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends the adoption of data analytics to strengthen solutions. The book addresses the challenges in designing the web based IoT system, provides a comparative analysis of different advanced approaches in industries, and contains an analysis of databases to provide expert systems. The book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of IoT and big data analytics.
- Provides deployment of semantic technologies in dataanalysis along with the latest applications in Internet of Things;
- Familiarizes readers with the data analysis environment so they can apply it in Internet of Things;
- Addresses the challenges in designing web based IoT systems.
Gwanggil Jeon received the B.S., M.S., and Ph.D. (summa cum laude) degrees from the Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea, in 2003, 2005, and 2008, respectively. He was with the Department of Electronics and Computer Engineering, Hanyang University, from 2008 to 2009. He was with the School of Information Technology and Engineering, University of Ottawa, Ottawa, ON, Canada, as a Post-Doctoral Fellow, from 2009 to 2011. He was with the Graduate School of Science and Technology, Niigata University, Niigata, Japan, as an Assistant Professor, from 2011 to 2012. He is currently an Assistant Professor with the Department of Embedded Systems Engineering, Incheon National University, Incheon, Korea. His current research interests include image processing, particularly image compression, motion estimation, demosaicking, and image enhancement, and computational intelligence, such as fuzzy and rough sets theories. Dr. Jeon was a recipient of the IEEE Chester Sall Award in 2007 and the ETRI Journal Paper Award in 2008.
Yan Zhang received the Ph.D. degree in School of Physics and Optoelectronic Engineering with the Xi'dian University, China. The main research directions are optical communication, quantum communication, nonlinear optics and device reliability.
- 2023, 1st ed. 2023, 326 Seiten, Englisch
- Herausgegeben: Rohit Sharma, Gwanggil Jeon, Yan Zhang
- Verlag: Springer International Publishing
- ISBN-10: 3031338081
- ISBN-13: 9783031338083
- Erscheinungsdatum: 19.09.2023
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- Dateiformat: PDF
- Größe: 12 MB
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