Similarity analysis of court judgements using association rule mining on case citation data-a case study

Title

Similarity analysis of court judgements using association rule mining on case citation data-a case study

Creator

Nair A.M.; Wagh R.S.

Description

Information Retrieval System (IRS) is an automated mechanism of retrieving required information from a collection of unstructured or semi-structured data. IRS reduces the efforts of identifying the required information from an enormous database. Legal domain is one of the major producers of complex information which consist of semi-structured and unstructured data. Knowledge based legal information systems are revolutionizing all processes involved in this domain and hence need for more effective legal knowledge management approaches are increasing. This paper proposes association rule mining as knowledge extraction technique that can be used effectively for analyzing relatedness of documents in legal domain. Through this work, authors present their efforts in analyzing similarity in legal documents from the citations done in court judgement by applying Association rule mining. International Research Publication House.

Source

International Journal of Engineering Research and Technology, Vol-11, No. 3, pp. 373-381.

Date

2018-01-01

Publisher

International Research Publication House

Subject

Association rule mining; Case similarity analysis; Citation analysis; Knowledge management; Legal domain

Coverage

Nair A.M., Department of computer Science, Christ University, Bangalore, 560029, India; Wagh R.S., Department of computer Science, Christ University, Bangalore, 560029, India

Rights

Restricted Access

Relation

ISSN: 9743154

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052651631&partnerID=40&md5=f1dfb0bf00ee11eaf254a184cc288eef