Graph-theoretic techniques for web content mining /

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This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Schenker, Adam
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore ; Hackensack, N.J. : World Scientific, ©2005.
Colección:Series in machine perception and artificial intelligence ; v. 62.
Temas:
Data mining.
Graph theory > Data processing.
Algorithms.
Multidimensional scaling.
Computer algorithms.
Exploration de données (Informatique)
Algorithmes.
Échelle multidimensionnelle.
algorithms.
Computer algorithms
Algorithms
Data mining
Graph theory > Data processing
Multidimensional scaling
Acceso en línea:Texto completo
Descripción
Sumario:This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors.
Notas:Title from title screen.
Descripción Física:1 online resource (249 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:9812563393
9789812563392
9789812569455
9812569456
1281372579
9781281372574

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