Graph-theoretic techniques for web content mining /

Mostrar otras versiones (1)

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
Tabla de Contenidos:
  • Preface; Contents; Chapter 1 Introduction to Web Mining; Chapter 2 Graph Similarity Techniques; Chapter 3 Graph Models for Web Documents; Chapter 4 Graph-Based Clustering; Chapter 5 Graph-Based Classification; Chapter 6 The Graph Hierarchy Construction Algorithm for Web Search Clustering; Chapter 7 Conclusions and Future Work; Appendix A Graph Examples; Appendix B List of Stop Words; Bibliography; Index.

Ejemplares similares