Knowledge Discovery from Legal Databases

Knowledge Discovery from Legal Databases is the first text to describe data mining techniques as they apply to law. Law students, legal academics and applied information technology specialists are guided thorough all phases of the knowledge discovery from databases process with clear explanations of...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Stranieri, Andrew (Autor), Zeleznikow, John (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Law and Philosophy Library, 69
Temas:
Artificial intelligence.
Law-Philosophy.
Law-History.
Artificial Intelligence.
Theories of Law, Philosophy of Law, Legal History.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Legal Issues in the Data Selection Phase
  • Legal Issues in the Data Pre-Processing Phase
  • Legal Issues in the Data Transformation Phase
  • Data Mining with Rule Induction
  • Uncertain and Statistical Data Mining
  • Data Mining Using Neural Networks
  • Information Retrieval and Text Mining
  • Evaluation, Deployment and Related Issues
  • Conclusion.

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