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

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

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

上传:鱼和流氓

时间:2009-01-26

文件大小:5.3 MB

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(PDF 英文版)
by Dan A. Simovici, Chabane Djeraba
Hardcover: 630 pages
Publisher: Springer (August 15, 2008)
ISBN-10: 1848002009
ISBN-13: 978-1848002005



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


Keywords:



Algebra

Boolean algebra

Cluster

Collection

Covering dimension

Data mining

Dendrogram

Entropy

Ferrers diagram

Flow

Frequent item set

Functional dependency

Galois connections

Generalized entropy

Generalized measure

Graph

Hausdorff-Besicovitch dimension

Inclusion-exclusion principle

Inductive topological dimension

Lattice

Levelwise algorithms

Measure

Metric

Mobius function

Operation

Outer measure

Perceptron

Similarity dimension

Sperner systems

Submodular function

Supramodular function

Topology

Tree

Tree metric

Ultrametric

Vapnik-Chervonenkis dimension


详细介绍在此:http://www.springer.com/book/978-1-84800-200-5
Tags:DataMathematicalMiningSetTheory


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