New Approaches to Data Analytics and Internet of Things Through Digital Twin
by P Karthikeyan (Editor), Polinpapilinho F Katina (Editor), S P Anandaraj (Editor)
Publisher finelybook 出版社: Engineering Science Reference (September 30, 2022)
Language 语言: English
Print Length 页数: 307 pages
ISBN-10: 1668457237
ISBN-13: 9781668457238
Book Description
Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
