"This book capture the state of the art trends and advancements in big data analytics, its technologies, and applications. The book also aims to identify potential research directions and technologies that will facilitate insight generation in various domains of science, industry, business, and consumer applications"--.

• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board and List of Reviewers
• Table of Contents
• Detailed Table of Contents
• Preface
• Acknowledgment
• Chapter 1: Advanced Threat Detection Based on Big Data Technologies
• Chapter 2: A Brief Review on Deep Learning and Types of Implementation for Deep Learning
• Chapter 3: Big Spectrum Data and Deep Learning Techniques for Cognitive Wireless Networks
• Chapter 4: Efficiently Processing Big Data in Real-Time Employing Deep Learning Algorithms
• Chapter 5: Digital Investigation of Cybercrimes Based on Big Data Analytics Using Deep Learning
• Chapter 6: Classifying Images of Drought-Affected Area Using Deep Belief Network, kNN, and Random Forest Learning Techniques
• Chapter 7: Big Data Deep Analytics for Geosocial Networks
• Chapter 8: Data Science
• Chapter 9: Data Science and Computational Biology
• Chapter 10: After Cloud
• Chapter 11: Cloud-Based Big Data Analytics in Smart Educational System
• Related References
• Compilation of References
• About the Contributors
• Index