Publisher's Synopsis
Encyclopaedia of Advances in Data Mining Knowledge Discovery and Applications reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making and also covers cutting-edge topics with its com¬prehensive coverage, algorithmic perspective, and wealth of practical examples. This book offers solid guidance in data mining for students, researchers, and practitioners alike. The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. Encyclopaedia of Advances in Data Mining Knowledge Discovery and Applications reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making and also covers cutting-edge topics with its com¬prehensive coverage, algorithmic perspective, and wealth of practical examples. This book offers solid guidance in data mining for students, researchers, and practitioners alike. The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. Encyclopaedia of Advances in Data Mining Knowledge Discovery and Applications reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making and also covers cutting-edge topics with its com¬prehensive coverage, algorithmic perspective, and wealth of practical examples. This book offers solid guidance in data mining for students, researchers, and practitioners alike. The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. Encyclopaedia of Advances in Data Mining Knowledge Discovery and Applications reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making and also covers cutting-edge topics with its com¬prehensive coverage, algorithmic perspective, and wealth of practical examples. This book offers solid guidance in data mining for students, researchers, and practitioners alike. The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics.
