Big Data, Cloud Computing and IoT : Tools and Applications (Paperback)

1. Integration of IoT, Big Data and Cloud Computing Technologies: Trend of the Era. 2. Cloud Environment Limitations and Challenges. 3. A Guide to Cloud Platform with an Investigation of Different Cloud Service Providers. 4. A Study on the Accuracy of IoT-Sensed Data Using Machine Learning. 5. Cloud-Based Remote Sensing: Developments and Challenges?Research Point of View. 6. Recent Trends in Machine Learning Techniques, Challenges and Opportunities. 7. Heart Disease Prediction Using Machine Learning and Big Data. 8. Analysis of Credit Card Fraud Data Using Various Machine Learning Methods. 9. Cloud Security Risk Management Quantifications. 10. Relevance of Multifactor Authentication for Secure Cloud Access. 11. LBMMS: Load Balancing with Max-Min of Summation in Cloud Computing. 12. Convergence Time Aware Network Comprehensive Switch Migration Algorithm Using Machine Learning for SDN Cloud Datacenter. 13. IoT Network Used in Fog and Cloud Computing. 14. Smart Waste Management System Using Convolutional Neural Network Model. 15. An IoT-Based Emotion Analysis and Music Therapy. 16. Complete Low-Cost IoT Framework for the Indian Agriculture Sector.