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Table of Contents
1 Cover
4 Preface
5 1 An Introduction to Knowledge Engineering and Data Analytics 1.1 Introduction 1.2 Knowledge and Knowledge Engineering 1.3 Knowledge Engineering as a Modelling Process 1.4 Tools 1.5 What are KBSs? 1.6 Guided Random Search and Network Techniques 1.7 Genetic Algorithms 1.8 Artificial Neural Networks 1.9 Conclusion References
6 2 A Framework for Big Data Knowledge Engineering 2.1 Introduction 2.2 Big Data in Knowledge Engineering 2.3 Proposed System 2.4 Results and Discussion 2.5 Conclusion References
7 3 Big Data Knowledge System in Healthcare 3.1 Introduction 3.2 Overview of Big Data 3.3 Big Data Tools and Techniques 3.4 Big Data Knowledge System in Healthcare 3.5 Big Data Applications in the Healthcare Sector 3.6 Challenges with Healthcare Big Data 3.7 Conclusion References
8 4 Big Data for Personalized Healthcare 4.1 Introduction 4.2 Related Literature 4.3 System Analysis and Design 4.4 System Implementation 4.5 Results and Discussion 4.6 Conclusion References
9 5 Knowledge Engineering for AI in Healthcare 5.1 Introduction 5.2 Overview 5.3 Applications of Knowledge Engineering in AI for Healthcare 5.4 Conclusion References
10 6 Business Intelligence and Analytics from Big Data to Healthcare 6.1 Introduction 6.2 Related Works 6.3 Conceptual Healthcare Stock Prediction System 6.4 Implementation and Result Discussion 6.5 Comparisons of Healthcare Stock Prediction Framework 6.6 Conclusion and Future Enhancement References Books Web Citation
11 7 Internet of Things and Big Data Analytics for Smart Healthcare 7.1 Introduction 7.2 Literature Survey 7.3 Smart Healthcare Using Internet of Things and Big Data Analytics 7.4 Security for Internet of Things 7.5 Conclusion References
12 8 Knowledge-Driven and Intelligent Computing in Healthcare 8.1 Introduction 8.2 Literature Review 8.3 Framework for Health Recommendation System 8.4 Experimental Results 8.5 Conclusion and Future Perspective References
13
