An experiment in discovering association rules in the legal domain

Author

Bench-Capon, Trevor ; Coenen, Frans ; Leng, Paul

Author_Institution

Dept. of Comput. Sci., Liverpool Univ., UK

fYear

2000

fDate

2000

Firstpage

1056

Lastpage

1060

Abstract

The article explores the applicability of an algorithm designed for finding association rules in large databases to the discovery of relevant associations from a large case base. More specifically, it describes an experiment intended to explore the applicability of data mining techniques to legal databases. In many areas of law, especially administrative law, many thousands of cases are decided. This data presents a significant resource. We would generally wish to assume that some rule is being followed so that like cases are decided in a like manner. Is there a way of deciding what the rule being followed is from an automated consideration of the data?

Keywords

associative processing; data mining; law administration; very large databases; administrative law; association rule discovery; automated data consideration; data mining techniques; large case base; large databases; legal databases; legal domain; relevant associations; Algorithm design and analysis; Artificial neural networks; Association rules; Computer science; Data mining; Databases; Hospitals; Informatics; Law; Legal factors;

fLanguage

English

Publisher

ieee

Conference_Titel

Database and Expert Systems Applications, 2000. Proceedings. 11th International Workshop on

Conference_Location

London

ISSN

1529-4188

Print_ISBN

0-7695-0680-1

Type

conf

DOI

10.1109/DEXA.2000.875157

Filename

875157