Knowledge Discovery from Legal Databases

Full text for this resource is not available from the Research Repository.

Stranieri, Andrew and Zeleznikow, John (2005) Knowledge Discovery from Legal Databases. Springer Law and Philosophy Library.

Abstract

This 290-page research monograph describes the authors’ significant original work on how Knowledge Discovery can help researchers to understand how legal decisions are made, especially in discretionary legal domains. This is the first text to describe how data-mining techniques apply to law. Law students, legal academics and applied information technology specialists are guided thorough all phases of the knowledge discovery process using databases, with clear explanations of numerous data mining algorithms including rule induction, neural networks and association rules. The text makes explicit how data-mining in law differs from other fields, and discusses 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.

Item type Book
URI https://vuir.vu.edu.au/id/eprint/5000
Official URL http://dx.doi.org/10.1007/1-4020-3037-1
ISBN 1402030363
Subjects Historical > Faculty/School/Research Centre/Department > Centre for Strategic Economic Studies (CSES)
Keywords ResPubID6865, data mining, data, information technology, legal
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login