Book(electronic)2021

Big Data Analytics and Intelligent Techniques for Smart Cities

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Abstract

Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Chapter 1 Big Data for Smart Education -- 1.1 Introduction -- 1.1.1 Big Data (BD) -- 1.1.1.1 Big Data Analytics (BDA) -- 1.1.2 Big Data Architecture Aimed at Learning Analytics -- 1.1.3 Role of Big Data in Smart Education -- 1.2 Fruition of Smart Learning -- 1.2.1 Insight of Smart Learning -- 1.2.2 Smart Learning Environment -- 1.2.3 Denotation of Smart in Smart Learning -- 1.2.4 Smart Learner -- 1.3 Framework of Smart Education -- 1.3.1 Smart Pedagogy -- 1.3.2 Smart Learning Environments -- 1.3.3 Technical Architecture of a Smart Education Environment -- 1.3.4 3-Tier Architecture of Smart Computing -- 1.3.5 Key Function of Smart Computing -- 1.4 Big Data Subsequent Revolution in Education -- 1.4.1 Big Data is Making Education Smarter -- 1.5 Technique Educators Are Improving in Learning Process -- 1.5.1 Measure, Monitor, and Respond -- 1.5.2 Epitomize Learning Experience -- 1.5.3 Designing New Courses -- 1.6 Big Data Components in Smart Education -- 1.7 Big Data Tools in Smart Education -- 1.8 Big Data Applications for Smart Education -- 1.8.1 Higher Education Analysis -- 1.8.2 Student Engagement -- 1.8.3 Bookstore Effectiveness -- 1.9 How BD and Education Could Work Together to Benefit Student Success -- 1.9.1 Customized Curricula Aimed at Improved Learning Outcome -- 1.9.2 Big Data to Expand Student's Performance -- 1.9.3 New Paths of Learning Potentials -- 1.10 Big Data Analytics Consequensces in Advanced Education -- 1.11 Opportunities along with Challenges of Big Data in Smart Education -- 1.12 Conclusion: Challenge of Simplifying Smart Education -- References -- Chapter 2 Big Data Analytics Using R for Offline Voltage Prediction in an Electric Power System -- 2.1 Introduction.

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Languages

English

Publisher

Taylor & Francis Group

ISBN

9781000413311

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