Mathematical tools for data mining: set theory, partial orders, combinatorics (2nd ed.)

摘要

The goal of this book is to present the basic mathematical theory and principles used in data mining tools and techniques. Accordingly, a variety of foundational theoretical concepts are covered, including set theory, combinatorics, linear algebra, matrix theory and properties of matrices, topology and measure theory, graph theory, and clustering algorithms. A chapter on the relevant theoretical concepts from relational databases theory is also included.