Knowledge Discovery from Legal Databases (Law and Philosophy Library, 69)

Stranieri, Andrew; Zeleznikow, John

ISBN 10: 1402030363 / ISBN 13: 9781402030369

Editore: Springer, 2005

In. Codice articolo ria9781402030369_new

Riassunto:

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 numerous data mining algorithms including rule induction, neural networks and association rules. Throughout the text, assumptions that make data mining in law quite different to mining other data are made explicit.  Issues such as the selection of commonplace cases, the use of discretion as a form of open texture, transformation using argumentation concepts and evaluation and deployment approaches are discussed at length.

Dalla quarta di copertina:

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 numerous data mining algorithms including rule induction, neural networks and association rules. Throughout the text, assumptions that make data mining in law quite different to mining other data are made explicit.  Issues such as the selection of commonplace cases, the use of discretion as a form of open texture, transformation using argumentation concepts and evaluation and deployment approaches are discussed at length.

Dati bibliografici

Titolo: Knowledge Discovery from Legal Databases (...
Casa editrice: Springer
Data di pubblicazione: 2005
Legatura: Rilegato
Condizione: New