disciplines such as topology, combinatorics, partially ordered sets and related algebraic structures (lattices and Boolean algebra), and metric spaces increasingly applied in data mining research. This book presents the basics of mathematics that integrates data mining with applications to provide readers with a comprehensive reference. Mathematics is presented in a thorough and rigorous offers detailed explanations of each topic, with applications like data mining frequent item sets, clustering, decision trees also being discussed. The reader is assumed to have knowledge of basic analysis. Features and topics: ? Application available at all ? Includes partially ordered sets, lattices and Boolean algebra ? Up to partially ordered sets ?