New approaches to data analytics and Internet of Things through digital twin[electronic resource]
- 其他作者: Karthikeyan, P., , Katina, Polinpapilinho F. , Anandaraj, S. P., , IGI Global.
- 出版: Hershey, Pennsylvania : IGI Global 2023.
- 稽核項: 1 online resource (307 p.).
- 標題: Internet of things. , Digital twins (Computer simulation) , Data mining. , Electronic books.
- ISBN: 1668457229 , 9781668457221
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index. Chapter 1. Data analytics: an overview -- Chapter 2. Data management for IoT and digital twin -- Chapter 3. Cybertwin-driven resource provisioning for ioe applications at 6G-enabled edge networks -- Chapter 4. Edge computing on IoT:architectures, techniques, and challenges -- Chapter 5. Disease analysis and prediction using digital twins and big data analytics -- Chapter 6. Knowledge discovery through intelligent data analytics in healthcare -- Chapter 7. A novel dualimage-based reversible hiding technique using LSB matching-digital world -- Chapter 8. Using deep learning and big data analytics for managing cyber-attacks -- Chapter 9. Data analysis of cognitive, behavioral, and emotional features havingimpact on student careers -- Chapter 10. Big data analytics in industrial IoT and cybertwin -- Chapter 11. The APT cyber warriors with TTP weapons to battle: an review on IoT and cyber twin.
- 摘要: "This book investigates that though many data analytics tools have been developed in the past few years, their usage in the field of Digital Twin warrants new approaches considering many aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real time analysis, sampling and dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection"--
- 電子資源: https://dbs.tnua.edu.tw/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-5722-1
- 系統號: 005331147
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
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.
來源: Google Book
來源: Google Book
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