Description
The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools.
This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them.
Features
- Addresses the complete data science technologies workflow
- Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning
- Covers data processing and security solutions in IoT and Big Data applications
- Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems
- Presents security issues and data migration techniques of NoSQL databases
Table of Contents
Section I: Applications of Machine Learning
1. Machine Learning Classifiers
[Rachna Behl and Indu Kashyap]
2. Dimension Reduction Techniques
[Muhammad Kashif Hanif, Shaeela Ayesha and Ramzan Talib]
3. Reviews Analysis of Apple Store Applications Using Supervised Machine Learning
[Sarah Al Dakhil and Sahar Bayoumi]
4. Machine Learning for Biomedical and Health Informatics
[Sanjukta Bhattacharya and Chinmay Chakraborty]
5. Meta-Heuristic Algorithms: A Concentration on the Applications in Text Mining
[Iman Raeesi Vanani and Setareh Majidian]
6. Optimizing Text Data in Deep Learning: An Experimental Approach
[Ochin Sharma and Neha Batra]
Section II: Big Data, Cloud and Internet of Things
7. Latest Data and Analytics Technology Trends That Will Change Business Perspectives
[Kamal Gulati]
8. A Proposal Based on Discrete Events for Improvement of the Transmission Channels in Cloud Environments and Big Data
[Reinaldo Padilha França, Yuzo Iano, Ana Carolina Borges Monteiro, Rangel Arthur and Vania V. Estrela]
9. Heterogeneous Data Fusion for Healthcare Monitoring: A Survey
[Shrida Kalamkar and Geetha Mary A]
10. Discriminative and Generative Model Learning for Video Object Tracking
[Vijay K. Sharma, K. K. Mahapatra and Bibhudendra Acharya]
11. Feature, Technology, Application, and Challenges of Internet of Things
[Ayush Kumar Agrawal and Manisha Bharti]
12. Analytical Approach to Sustainable Smart City Using IoT and Machine Learning
[Syed Imtiyaz Hassan and Parul Agarwal]
13. Traffic Flow Prediction with Convolutional Neural Network Accelerated by Spark Distributed Cluster
[Yihang Tang, Melody Moh and Teng-Sheng Moh]
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