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Knowledge Discovery from Legal Databases
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Dordrecht :
Springer Netherlands : Imprint: Springer,
2005.
|
| Edición: | 1st ed. 2005. |
| Colección: | Law and Philosophy Library,
69 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-1-4020-3037-6 | ||
| 003 | DE-He213 | ||
| 005 | 20220117015606.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2005 ne | s |||| 0|eng d | ||
| 020 | |a 9781402030376 |9 978-1-4020-3037-6 | ||
| 024 | 7 | |a 10.1007/1-4020-3037-1 |2 doi | |
| 050 | 4 | |a Q334-342 | |
| 050 | 4 | |a TA347.A78 | |
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| 100 | 1 | |a Stranieri, Andrew. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Knowledge Discovery from Legal Databases |h [electronic resource] / |c by Andrew Stranieri, John Zeleznikow. |
| 250 | |a 1st ed. 2005. | ||
| 264 | 1 | |a Dordrecht : |b Springer Netherlands : |b Imprint: Springer, |c 2005. | |
| 300 | |a XII, 298 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Law and Philosophy Library, |x 2215-0315 ; |v 69 | |
| 505 | 0 | |a Legal Issues in the Data Selection Phase -- Legal Issues in the Data Pre-Processing Phase -- Legal Issues in the Data Transformation Phase -- Data Mining with Rule Induction -- Uncertain and Statistical Data Mining -- Data Mining Using Neural Networks -- Information Retrieval and Text Mining -- Evaluation, Deployment and Related Issues -- Conclusion. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Law-Philosophy. | |
| 650 | 0 | |a Law-History. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Theories of Law, Philosophy of Law, Legal History. |
| 700 | 1 | |a Zeleznikow, John. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9789048167715 |
| 776 | 0 | 8 | |i Printed edition: |z 9789048101627 |
| 776 | 0 | 8 | |i Printed edition: |z 9781402030369 |
| 830 | 0 | |a Law and Philosophy Library, |x 2215-0315 ; |v 69 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/1-4020-3037-1 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||