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This§book covers three major parts of Big Data: concepts, theories and§applications. Written by world-renowned leaders in Big Data, this book explores§the problems, possible solutions and directions for Big Data in research and§practice. It also focuses on high level concepts such as definitions§of Big Data from different angles; surveys in research and applications; and§existing tools, mechanisms, and systems in practice. Each chapter is independent§from the other chapters, allowing users to read any chapter directly.§§After examining the practical side§of Big Data, this book presents theoretical perspectives. The theoretical§research ranges from Big Data representation, modeling and topology to§distribution and dimension reducing. Chapters also investigate the many§disciplines that involve Big Data, such as statistics, data mining, machine§learning, networking, algorithms, security and differential geometry. The last§section of this book introduces Big Data applications from different§communities, such as business, engineering and science.§Big Data Concepts, Theories and Applications is designed as a reference for researchers§and advanced level students in computer science, electrical engineering and§mathematics. Practitioners who focus on information systems, big data, data§mining, business analysis and other related fields will also find this§material valuable.
