Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics by Dan A. SimoviciEnglish | PDF(True) | 2008 | 611 Pages | ISBN : 1848002009 | 12.8 MB
The maturing of the field of data mining has brought about an increased level of mathematical sophistication. Such disciplines like topology, combinatorics, partially ordered sets and their associated algebraic structures (lattices and Boolean algebras), and metric spaces are increasingly applied in data mining research. This book presents these mathematical foundations of data mining integrated with applications to provide the reader with a comprehensive reference.