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Knowledge Discovery from Legal Databases

Name: Knowledge Discovery from Legal Databases
Brand: Springer-Verlag New York Inc.
SKU: 9781402030369
Price: 209.7 EUR
Availability: InStock

Автор: Andrew Stranieri, John Zeleznikow

Език:

Корици: С твърди корици

Издател: Springer-Verlag New York Inc.

Наличност: Външен склад

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209.70 € 410.14 лв

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

Информация за книгата

Автор

Andrew Stranieri, John Zeleznikow

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2005

страници

298

EAN

9781402030369

ISBN

1402030363

Enbook ID

01415990

Издател

Springer-Verlag New York Inc.

Теглоt

1360

Размери

156 x 232 x 21

Пълно описание

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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