Mathematical Tools for Data Mining : Set Theory, Partial Orders, Combinatorics
Publication year: 2008
ISBN: 978-1-84800-201-2
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Mathematics is presented in a thorough and rigorous manner offering a detailed explanation of each topic, with applications to data mining such as frequent item sets, clustering, decision trees also being discussed. More than 400 exercises are included and they form an integral part of the material. Some of the exercises are in reality supplemental material and their solutions are included. The reader is assumed to have a knowledge of elementary analysis.
Subject: Computer Science, Boolean algebra, Clustering, combinatorics, data mining, database, databases sets, Data Mining and Knowledge Discovery, Mathematics of Computing, Discrete Mathematics in Computer Science, Computational Mathematics and Numerical Analysis
