Data has become a valuable asset like never before. The challenge today is not a shortage of data but the need for techniques and methods capable enough to be able to glean valuable insights from the fast-flowing mass of big data. This new volume helps to meet the challenge of managing and using big data by presenting new research on various technological advances in the field. The chapters in the book present information on important applications, concepts, and technologies for big data in the present industry and market scenario. It looks at research domain issues and their solutions as well as various research case studies, research plans, methodologies, and related data sets for the four Vs: volume, velocity, variety, and veracity. Chapters discuss big data in governance, transportation, disaster management, epidemiology, and more. The book covers design and analysis of reconfigurable computing of SoC for IoT, data mining techniques and applications, the use of natural language processing in big data, and more. This book helps to meet the challenge of managing and using Big Data by presenting new research on various technological advances in the field.
Cover 1
Half Title 2
Title Page 4
Copyright Page 5
About the Editors 6
Table of Contents 10
Contributors 12
Abbreviations 14
Preface 18
1. Big Data in Governance in India: Case Studies 22
2. Design and Analysis of Reconfigurable Computing of SoC for IoT Applications 50
3. A Review of Different Data Mining Techniques Used in Big Data Applications 80
4. Big Data Applications in Transportation Systems Using the Internet of Things 112
5. Overview of Big Data and Natural Language Processing: A Powerful Combination for Research 134
6. An Insight into Big Data and Its Pertinence 158
7. Big Data Science: Models and Approaches, Characteristics, Challenges, and Applications 178
8. Conceptual Frameworks for Big Data Visualization: Discussion on Models, Methods, and Artificial Intelligence for Graphical Representations of Data 218
9. Role of Machine Learning in Big Data Peregrination 256
10. Artificial Neural Networks: Fundamentals, Design, and Applications 298
11. Big Data: Trends, Challenges, Opportunities, Tools, Success Factors, and the Way Toward Pandemic Analytics 318
12. Applying Tenacious Machine Learning Classification Techniques for Drug-Free Nipah Virus Prediction 340
13. An Approach for Controlling Disaster Management by Machine Learning Technique 358
Index 386
artificial,intelligence;,artificial,neural,networks;,big,data,applications;,big,data,peregrination;,big,data,science;,big,data,visualization;,data,mining,techniques;,disaster,management;,internet,of,things,applications;,machine,learning;,natural,language,processing;,pandemic,analytics;,system-on-chip,methodology;,transportation,systems
artificial intelligence,artificial neural networks,big data applications,big data peregrination,big data science,big data visualization,data mining techniques,disaster management,internet of things applications,machine learning,natural language processing,pandemic analytics,system-on-chip methodology,transportation systems
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