1.

Record Nr.

UNINA9910298980103321

Autore

Simovici Dan A

Titolo

Mathematical Tools for Data Mining : Set Theory, Partial Orders, Combinatorics / / by Dan A. Simovici, Chabane Djeraba

Pubbl/distr/stampa

London : , : Springer London : , : Imprint : Springer, , 2014

ISBN

1-4471-6407-5

Edizione

[2nd ed. 2014.]

Descrizione fisica

1 online resource (834 p.)

Collana

Advanced Information and Knowledge Processing, , 1610-3947

Disciplina

006.312

Soggetti

Data mining

Computer science—Mathematics

Computer mathematics

Data Mining and Knowledge Discovery

Mathematics of Computing

Discrete Mathematics in Computer Science

Computational Mathematics and Numerical Analysis

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters and index.

Nota di contenuto

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.

Sommario/riassunto

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 applications of these mathematical tools are included ranging from association rules, clustering algorithms, classification, data constraints, logical data analysis, etc.  The book is intended as a reference for researchers and graduate students.  The current edition is a significant expansion of the first edition.  We strived



to make the book self-contained, and only a general knowledge of mathematics is required.  More than 700 exercises are included and they form an integral part of the material.  Many exercises are in reality supplemental material and their solutions are included.