Mathematical Tools for Data Mining: Set Theory, Partial Orders, Combinatorics

by Dan A. Simovici, Chaabane Djeraba, Chabane Djeraba

Book Overview

Data mining essentially relies on several mathematical disciplines, many of which are presented in this second edition of this book. Topics include partially ordered sets, combinatorics, general topology, metric spaces, linear spaces, graph theory. To motivate the reader a significant number of applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data...

• Format: Hardcover
• Language: English
• ISBN: 1447164067
• ISBN13: 9781447164067
• Release Date: April 2014
• Publisher: Springer
• Length: 831 Pages
• Weight: 3.00 lbs.
• Dimensions: 1.9" x 6.2" x 9.2"