E-Books →Mathematical Tools for Data Mining Set Theory, Partial Orders, Combinatorics (Advanced Information and Knowledge Processing)

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.
Features and topics:
* Study of functions and relations
* Applications are provided throughout
* Presents graphs and hypergraphs
* Covers partially ordered sets, lattices and Boolean algebras
* Finite partially ordered sets
* Focuses on metric spaces
* Includes combinatorics
* Discusses the theory of the Vapnik-Chervonenkis dimension of collections of sets
This wide-ranging, thoroughly detailed volume is self-contained and intended for researchers and graduate students, and will prove an invaluable reference tool.