Logical and Relational Learning

This textbook covers logical and relational learning in depth, and hence provides an introduction to inductive logic programming (ILP), multirelational data mining (MRDM) and (statistical) relational learning (SRL). These subfields of data mining and machine learning are concerned with the analysis...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: De Raedt, Luc (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Cognitive Technologies,
Temas:
Software engineering.
Artificial intelligence.
Data mining.
Database management.
Information storage and retrieval systems.
Application software.
Software Engineering.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Database Management.
Information Storage and Retrieval.
Computer and Information Systems Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • An Introduction to Logic
  • An Introduction to Learning and Search
  • Representations for Mining and Learning
  • Generality and Logical Entailment
  • The Upgrading Story
  • Inducing Theories
  • Probabilistic Logic Learning
  • Kernels and Distances for Structured Data
  • Computational Aspects of Logical and Relational Learning
  • Lessons Learned.

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