Big Data, Iot, and Machine Learning: Tools and Applications

ISBN-13: 9780367336745 / Angielski / Twarda / 2020 / 319 str.

Rashmi Agrawal; Marcin Paprzycki; Neha Gupta

Opis

This book discusses the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. It describes essential technical knowledge, building blocks, processes, design principles, and implementation of big data tools and machine learning techniques and applications for IoT projects.

Spis treści

Section I: Applications of Machine Learning 1. Machine Learning Classifiers 2. Dimension Reduction Techniques 3. Reviews Analysis of Apple Store Applications Using Supervised Machine Learning 4. Machine Learning for Biomedical and Health Informatics 5. Meta-Heuristic Algorithms: A Concentration on the Applications in Text Mining 6. Optimizing Text Data in Deep Learning: An Experimental Approach Section II: Big Data, Cloud and Internet of Things 7. Latest Data and Analytics Technology Trends That Will Change Business Perspectives 8. A Proposal Based on Discrete Events for Improvement of the Transmission Channels in Cloud Environments and Big Data 9. Heterogeneous Data Fusion for Healthcare Monitoring: A Survey 10. Discriminative and Generative Model Learning for Video Object Tracking 11. Feature, Technology, Application, and Challenges of Internet of Things 12. Analytical Approach to Sustainable Smart City Using IoT and Machine Learning 13. Traffic Flow Prediction with Convolutional Neural Network Accelerated by Spark Distributed Cluster