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Knowledge Discovery from Legal Databases

Idioma InglésInglés
Libro Tapa dura
Libro Knowledge Discovery from Legal Databases Andrew Stranieri
Código Libristo: 01415990
Editores Springer-Verlag New York Inc., junio 2005
Knowledge Discovery from Legal Databases is the first text to describe data mining techniques as the... Descripción completa
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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.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.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.

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Nombre y apellidos Knowledge Discovery from Legal Databases
Idioma Inglés
Encuadernación Libro - Tapa dura
Fecha de publicación 2005
Número de páginas 298
EAN 9781402030369
ISBN 1402030363
Código Libristo 01415990
Peso 1360
Dimensiones 156 x 232 x 21
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