Knowledge Discovery from Legal Databases / Law and Philosophy Library Bd.69 (PDF)
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...
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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.
- Autoren: Andrew Stranieri , John Zeleznikow
- 2006, 2005, 298 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1402030371
- ISBN-13: 9781402030376
- Erscheinungsdatum: 30.03.2006
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 3.65 MB
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