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Knowledge Discovery from Legal Databases

Name: Knowledge Discovery from Legal Databases
Brand: Springer-Verlag New York Inc.
SKU: 9781402030369
Price: 1101.22 RON
Availability: InStock

Autor: Andrew Stranieri, John Zeleznikow

Limbă:

Legare: Copertă tare

Editura: Springer-Verlag New York Inc.

Disponibilitate: În depozitul extern

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Knowledge Discovery from Legal Databases is the first text to describe data mining techniques as the...

Informații despre carte

Autor

Andrew Stranieri, John Zeleznikow

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2005

Pagini

298

EAN

9781402030369

ISBN

1402030363

Enbook ID

01415990

Editura

Springer-Verlag New York Inc.

Greutate

1360

Dimensiuni

156 x 232 x 21

Descriere completă

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.