International contributors to this book include educators, researchers, and practitioners in computer science, data mining, software engineering, information systems, and information technology. They describe the latest approaches for engineering, managing, and analyzing Big Data, touching on themes such as data mining, artificial intelligence, and information extraction. Chapters are grouped in sections on foundational issues, tools and methods, and case studies demonstrating application areas for Big Data in the enterprise. Some topics examined are data stream mining of event streams, descriptive and predictive analytical methods for Big Data, analyzing enterprise social network data, data modeling and knowledge discovery in process industries, and using Big Data in collaborative learning. B&W charts, diagrams, and graphs are included.
– ProtoView Reviews
International contributors to this book include educators, researchers, and practitioners in computer science, data mining, software engineering, information systems, and information technology. They describe the latest approaches for engineering, managing, and analyzing Big Data, touching on themes such as data mining, artificial intelligence, and information extraction. Chapters are grouped in sections on foundational issues, tools and methods, and case studies demonstrating application areas for Big Data in the enterprise. Some topics examined are data stream mining of event streams, descriptive and predictive analytical methods for Big Data, analyzing enterprise social network data, data modeling and knowledge discovery in process industries, and using Big Data in collaborative learning. B&W charts, diagrams, and graphs are included.
– ProtoView Reviews