The idea behind this book is to simplify the journey of aspiring readers and researchers to understand the Big Data, IoT and Machine Learning. It also includes various real time/ offline applications and case studies in the field of engineering, computer science, information security, cloud computing with modern tools & technologies used.
This book consists of two sections - Section I contains the topics related to Applications of Machine Learning and section II address issues about Big Data, Cloud and Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand.
1. Fundamentals of Big Data, IoT and Machine Learning. 2. IoT in Big Data. 3. Cloud Computing in Big Data. 4. Big Data Analytics. 5. Hadoop Ecosystem. 6. Tools of Big Data. 7. Big Data and NoSQL Databases. 8. Data Migration Techniques in NoSQL. 9. Security Issues of NoSQL Databases. 10. Machine Learning Classifiers. 11. Dimensionality Reduction. 12. Embedding a Machine Learning Model into Web Application. 13. Clustering Analysis. 14. Applying Machine Learning to Sentiment Analysis. 15. Big data analytics for cyber-security and privacy in IoT.
Computer Science engineering and technology has always had a profound impact on social and organization progression. The discipline defining Internet of Things and Internet of Everything will serve research needs in numerous fields that are affected by the rapid pace and substantial impact of technologic changes, with an emphasis on modern issues and challenges in the field of computer science, engineering, and technology. The series will deal with the current issues and highly relevant topics in the engineering and business world. The wide range of topics are quite impressive and useful for today's scenarios. Therefore this series is not only useful for leaders and strategist, but also for specialist in the above mentioned fields. Executives in states administrations and research institutes will profit from various view points and suggested solutions that will be presented in the book series. This new book series will include single authored books as well as multi-contributed volumes involving experts from all over the world.