Data Mining and Analysis - Fundamental Concepts and Algorithms - Grand Format

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 dixovery to business intelligence and analytics. This textbook for senior undergraduate and graduate data ping courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and stadstics.
The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification. The book lays the basic foundations of these tasks, and also covers cutting-edge topics such as kernel methods, high-dimensional data analysis, and complex graphs and networks. With its comprehensive coverage, algorithmic perspective, and wealth of examples, this book offers solid guidance m data mining for students, researchers, and practitioners alike.