Tag: Analytics

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


Free Download New Approaches to Data Analytics and Internet of Things Through Digital Twin (Advances in Systems Analysis, Software Engineering, and High Performance Computing) by P Karthikeyan, Polinpapilinho F Katina, S P Anandaraj
English | September 30, 2022 | ISBN: 1668457229 | 307 pages | MOBI | 6.31 Mb
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.

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Data Analytics and Adaptive Learning


Free Download Patsy D. Moskal, "Data Analytics and Adaptive Learning"
English | ISBN: 1032154705 | 2023 | 364 pages | EPUB | 4 MB
Data Analytics and Adaptive Learning offers new insights into the use of emerging data analysis and adaptive techniques in multiple learning settings. In recent years, both analytics and adaptive learning have helped educators become more responsive to learners in virtual, blended, and personalized environments. This set of rich, illuminating, international studies spans quantitative, qualitative, and mixed-methods research in higher education, K-12, and adult/continuing education contexts. By exploring the issues of definition and pedagogical practice that permeate teaching and learning and concluding with recommendations for the future research and practice necessary to support educators at all levels, this book will prepare researchers, developers, and graduate students of instructional technology to produce evidence for the benefits and challenges of data-driven learning.

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