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
Paperback: 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.
New Approaches to Data Analytics and Internet of Things Through Digital Twin
相关推荐
- Advanced Malware Analysis and Intelligence: Investigating malicious code with static and dynamic analysis and threat intelligence
- Building Decentralized Blockchain Applications: Learn how to use blockchain as the foundation for Next-Gen Apps, 2nd Edition
- Data Science Essentials with R: Learn with focus on data manipulation, visualization, and machine learning
- Generative AI for Everyone: Deep learning, NLP, and LLMs for creative and practical applications
finelybook
