Machine Learning Approach for Cloud Data Analytics in IoT. Группа авторов

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Machine Learning Approach for Cloud Data Analytics in IoT - Группа авторов

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12.16 The Impact of Data Centers on Environment 12.17 Virtualization Technologies 12.18 Literature Review 12.19 The Main Objective 12.20 Research Gap 12.21 Research Methodology 12.22 Conclusion and Suggestions 12.23 Scope for Further Research References

      18  13 Intelligent Reclamation of Plantae Affliction Disease 13.1 Introduction 13.2 Existing System 13.3 Proposed System 13.4 Objectives of the Concept 13.5 Operational Requirements 13.6 Non-Operational Requirements 13.7 Depiction Design Description 13.8 System Architecture 13.9 Design Diagrams 13.10 Comparison and Screenshot 13.11 Conclusion References

      19  14 Prediction of the Stock Market Using Machine Learning–Based Data Analytics 14.1 Introduction of Stock Market 14.2 Related Works 14.3 Financial Prediction Systems Framework 14.4 Implementation and Discussion of Result 14.5 Conclusion References Web Citations

      20  15 Pehchaan: Analysis of the ‘Aadhar Dataset’ to Facilitate a Smooth and Efficient Conduct of the Upcoming NPR 15.1 Introduction 15.2 Basic Concepts 15.3 Study of Literature Survey and Technology 15.4 Proposed Model 15.5 Implementation and Results 15.6 Conclusion References

      21  16 Deep Learning Approach for Resource Optimization in Blockchain, Cellular Networks, and IoT: Open Challenges and Current Solutions 16.1 Introduction 16.2 Background 16.3 Deep Learning for Resource Management in Blockchain, Cellular, and IoT Networks 16.4 Future Research Challenges 16.5 Conclusion and Discussion References

      22  17 Unsupervised Learning in Accordance With New Aspects of Artificial Intelligence 17.1 Introduction 17.2 Applications of Machine Learning in Data Management Possibilities 17.3 Solutions to Improve Unsupervised Learning Using Machine Learning 17.4 Open Source Platform for Cutting Edge Unsupervised Machine Learning 17.5 Applications of Unsupervised Learning 17.6 Applications Using Machine Learning Algos References

      23  18 Predictive Modeling of Anthropomorphic Gamifying Blockchain-Enabled Transitional Healthcare System 18.1 Introduction 18.2 Gamification in Transitional Healthcare: A New Model 18.3 Existing Related Work 18.4 The Framework 18.5 Implementation 18.6 Conclusion References

      24  Index

      25  End User License Agreement

      Guide

      1  Cover

      2  Table of Contents

      3  Title page

      4  Copyright

      5 

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