Электронный архив

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

Показать сокращенную информацию

dc.contributor.author P. Karthikeyan
dc.contributor.author Polinpapilinho F. Katina
dc.contributor.author S.P. Anandaraj
dc.date.accessioned 2024-09-27T07:34:42Z
dc.date.available 2024-09-27T07:34:42Z
dc.date.issued 2022
dc.identifier.isbn 9781668457221
dc.identifier.isbn 9781668457245
dc.identifier.isbn 9781668457252
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/184662
dc.description.abstract 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.
dc.publisher Engineering Science Reference
dc.subject.other COMPUTERS / Database Administration & Management
dc.subject.other COMPUTERS / Data Science / Data Analytics
dc.subject.other COMPUTERS / Internet of Things (IoT)
dc.subject.other Data mining
dc.subject.other Digital twins (Computer simulation)
dc.subject.other Internet of things
dc.title New Approaches to Data Analytics and Internet of Things Through Digital Twin
dc.type Book
dc.collection Электронно-библиотечные системы
dc.source.id ebsco-3409451


Файлы в этом документе

Данный элемент включен в следующие коллекции

Показать сокращенную информацию

Поиск в электронном архиве


Расширенный поиск

Просмотр

Моя учетная запись

Статистика