Knowledge Discovery in Inductive Databases Third International Workshop, KDID 2004, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Siebes, Arno (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 3377
Temas:
Database management.
Artificial intelligence.
Database Management.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Invited Paper
  • Models and Indices for Integrating Unstructured Data with a Relational Database
  • Contributed Papers
  • Constraint Relaxations for Discovering Unknown Sequential Patterns
  • Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
  • Theoretical Bounds on the Size of Condensed Representations
  • Mining Interesting XML-Enabled Association Rules with Templates
  • Database Transposition for Constrained (Closed) Pattern Mining
  • An Efficient Algorithm for Mining String Databases Under Constraints
  • An Automata Approach to Pattern Collections
  • Implicit Enumeration of Patterns
  • Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures.

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