This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing,
probability models, machine learning, data mining, database, data engineering, pattern recognition, visualisation, predictive
analytics, data warehousing, data compression, computer programming, smart city, etc. Data is becoming an increasingly decisive
resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories
drawn from mathematics, statistics, information theory, computer science, and social science. Papers in this book were the
outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data
analysis in general and big data and smart city in particular.
The book appeals to advanced undergraduate
and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well as anyone interested in big
data analysis and smart city.