Information Retrieval and Text Mining

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

Stranieri, Andrew and Zeleznikow, John ORCID: 0000-0002-8786-2644 (2005) Information Retrieval and Text Mining. In: Knowledge Discovery from Legal Databases. Law and Philosophy Library, 69 . Springer, Dordrecht, pp. 147-169.

Dimensions Badge

Altmetric Badge

Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/42744
DOI 10.1007/1-4020-3037-1_8
Official URL https://link.springer.com/chapter/10.1007/1-4020-3...
ISBN 9781402030369
Subjects Current > FOR (2020) Classification > 4602 Artificial intelligence
Current > FOR (2020) Classification > 4805 Legal systems
Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
Keywords discovering knowledge; law; legal information; information extraction; text summarization; text categorization; text clustering
Citations in Scopus 3 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)