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Knowledge Discovery from Legal Databases

Knowledge Discovery from Legal Databases

by Andrew Stranieri and John Zeleznikow
Hardback
Publication Date: 01/06/2005

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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.
ISBN:
9781402030369
9781402030369
Category:
Artificial intelligence
Format:
Hardback
Publication Date:
01-06-2005
Language:
English
Publisher:
Springer-Verlag New York Inc.
Country of origin:
United States
Pages:
298
Dimensions (mm):
232x156x19mm
Weight:
1.36kg

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