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Knowledge Discovery from Legal Databases (Law and Philosophy Library) PDF

307 Pages·2005·3.292 MB·English
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by Andrew Stranieri, John Zeleznikow,| 2005| 307 pages| 3.292| English

About Knowledge Discovery from Legal Databases (Law and Philosophy Library)

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.

Detailed Information

Author:Andrew Stranieri, John Zeleznikow,
Publication Year:2005
ISBN:9781402030369
Pages:307
Language:English
File Size:3.292
Format:PDF
Price:FREE
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