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Covers privacy and anonymity for data mining applications. This book presents novel application domains, such as data mining of... Læs mere
Suitable for researchers in machine learning, data mining, and computer vision, this book presents discussions on algorithms and applications for dimensionality... Læs mere
Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to... Læs mere
Drawing on the authors’ two decades of experience in applied modeling and data mining, this self-contained book presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling,
Big Data is now highly regarded and accepted as a useful tool to help organizations manage their data and information effectively and efficiently.
This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects.
Over the last decade big data and data mining has received growing interest and importance in game production to process and draw actionable... Læs mere