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Books > Computing & IT > Applications of computing > Databases > Data mining

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New Approaches to Data Analytics and Internet of Things Through Digital Twin (Hardcover) Loot Price: R7,251
Discovery Miles 72 510
New Approaches to Data Analytics and Internet of Things Through Digital Twin (Hardcover): P. Karthikeyan, Polinpapilinho F....

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

P. Karthikeyan, Polinpapilinho F. Katina, S.P. Anandaraj

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Loot Price R7,251 Discovery Miles 72 510 | Repayment Terms: R680 pm x 12*

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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.

General

Imprint: IGI Global
Country of origin: United States
Release date: September 2022
Editors: P. Karthikeyan • Polinpapilinho F. Katina • S.P. Anandaraj
Dimensions: 279 x 216mm (L x W)
Format: Hardcover
Pages: 320
ISBN-13: 978-1-66845-722-1
Categories: Books > Computing & IT > Applications of computing > Databases > Data capture & analysis
Books > Computing & IT > Applications of computing > Databases > Data mining
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LSN: 1-66845-722-9
Barcode: 9781668457221

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