IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

New Approaches to Data Analytics and Internet of Things Through Digital Twin

New Approaches to Data Analytics and Internet of Things Through Digital Twin
Author(s)/Editor(s): P. Karthikeyan (Jain Deemed University, India), Polinpapilinho F Katina (University of South Carolina Upstate, USA) and S.P. Anandaraj (Presidency University, India)
Copyright: ©2023
DOI: 10.4018/978-1-6684-5722-1
ISBN13: 9781668457221
ISBN10: 1668457229
EISBN13: 9781668457245

Purchase

View New Approaches to Data Analytics and Internet of Things Through Digital Twin on the publisher's website for pricing and purchasing information.


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.



Body Bottom