Emerging Trends in Iot and Integration With Data Science, Cloud Computing, and Big Data Analytics (Advances in Web Technologies and Engineering)

ISBN 10: 1799841863 / ISBN 13: 9781799841869

Published by Information Science Reference, 2021

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Bibliographic Details

• Title: Emerging Trends in Iot and Integration With Data Science, Cloud Computing, and Big Data Analytics (Advances in Web Technologies and Engineering)
• Publisher: Information Science Reference
• Publication Date: 2021
• Language: English
• ISBN 10: 1799841863
• ISBN 13: 9781799841869
• Binding: Hardcover
• Condition: New

About this title

Synopsis

The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues.

Emerging Trends in IoT and Integration With Data Science is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

About the Author

Pelin Yildirim Taser is the Assistant Professor Doctor in Computer Engineering Department of İzmir Bakircay University. She received her B.Sc, M.Sc., and Ph.D. degrees in Computer Engineering from Dokuz Eylül University in 2013, 2015, and 2019 respectively. After her B.Sc. graduation, she worked as a project assistant at the Computer Engineering Department of Dokuz Eylül University for six months. Between 2014 – 2019, she worked as a research assistant at the Software Engineering Department of Manisa Celal Bayar University, Turkey. Her research interests include data mining, machine learning, intelligent systems, and deep learning. She is the author of several book chapters and lots of international publications. She is also the advisory board member of some journals and a reviewer for major scientific journals. She is an editor of IGI Global Reference Book. She also served on the organization committee of some conferences and scientific activities. She referees for the assessment of the industrial R&D project proposals. Dr. Yildirim Taser has graduation awards, including certificates of high achievement from her M.S. and Ph.D. educations and certificate of publication honor from her Ph.D.