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

• Κύριοι συγγραφείς: Simovici, Dan A. (Συγγραφέας), Djeraba, Chabane (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London, 2008.
• Σειρά: Advanced Information and Knowledge Processing
• Θέματα: Computer science.; Computer science > Mathematics.; Data mining.; Computer mathematics.; Computer Science.; Data Mining and Knowledge Discovery.; Mathematics of Computing.; Discrete Mathematics in Computer Science.; Computational Mathematics and Numerical Analysis.

The maturing of the field of data mining has brought about an increased level of mathematical sophistication. Such disciplines like topology, combinatorics, partially ordered sets and their associated algebraic structures (lattices and Boolean algebras), and metric spaces are increasingly applied in...

Πίνακας περιεχομένων:

• Set Theory
• Sets, Relations, and Functions
• Algebras
• Graphs and Hypergraphs
• Partial Orders
• Partially Ordered Sets
• Lattices and Boolean Algebras
• Topologies and Measures
• Frequent Item Sets and Association Rules
• Applications to Databases and Data Mining
• Rough Sets
• Metric Spaces
• Dissimilarities, Metrics, and Ultrametrics
• Topologies and Measures on Metric Spaces
• Dimensions of Metric Spaces
• Clustering
• Combinatorics
• Combinatorics
• The Vapnik-Chervonenkis Dimension.