Mathematical Tools for Data Mining Set Theory, Partial Orders, Combinatorics
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 a...
Main Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
London
Springer London
2014, 2014
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Edition: | 2nd ed. 2014 |
Series: | Advanced Information and Knowledge Processing
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Sets, Relations and Functions
- Partially Ordered Sets
- Combinatorics
- Topologies and Measures
- Linear Spaces
- Norms and Inner Products
- Spectral Properties of Matrices
- Metric Spaces Topologies and Measures
- Convex Sets and Convex Functions
- Graphs and Matrices
- Lattices and Boolean Algebras
- Applications to Databases and Data Mining
- Frequent Item Sets and Association Rules
- Special Metrics
- Dimensions of Metric Spaces
- Clustering