Linear Algebra Tools for Data Mining.

This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear algebra has gained increasing importance in data mining and pattern recognition, as shown by the many current data mining publications, and has a strong impact...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Simovici, Dan A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : World Scientific, 2012.
Temas:
Data mining.
Parallel processing (Electronic computers)
Computer algorithms.
Linear programming.
Data Mining
Algorithms
Programming, Linear
Exploration de données (Informatique)
Parallélisme (Informatique)
Algorithmes.
Programmation linéaire.
algorithms.
COMPUTERS > Database Management > Data Mining.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Computer algorithms
Data mining
Linear programming
Acceso en línea:Texto completo
Descripción
Sumario:This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear algebra has gained increasing importance in data mining and pattern recognition, as shown by the many current data mining publications, and has a strong impact in other disciplines like psychology, chemistry, and biology. The basic material is accompanied by more than 550 exercises and supplements, many accompanied with complete solutions and MATLAB applications.
Notas:MATLAB Computations.
Descripción Física:1 online resource (878 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:9789814383509
9814383503
1280669896
9781280669897

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