A Brief Review of Intelligent Rule Extraction Techniques

Title

A Brief Review of Intelligent Rule Extraction Techniques

Creator

Gunjan A.; Bhattacharyya S.

Description

Rule extraction is a process of extracting rules which helps in building domain knowledge. Rules plays an important role in reconciling financial transactions. This paper presents a brief study of intelligent methods for rule extraction. The paper touches upon heuristic, regression, fuzzy-based, evolutionary, and dynamic adaptive techniques for rule extraction. This paper also presents the state-of-the-art techniques used in dealing with numerical and linguistic data for rule extraction. The objective of the paper is to provide directional guidance to researchers working on rule extraction. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Advances in Intelligent Systems and Computing, Vol-1333 AISC, pp. 115-122.

Date

2021-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Fuzzy logic; Fuzzy rule interpolation; Genetic algorithms; Intelligent approaches; Neural networks; Rule extraction

Coverage

Gunjan A., Christ (Deemed to be University), Bangalore, India; Bhattacharyya S., Rajnagar Mahavidyalaya, Birbhum, India

Rights

Restricted Access

Relation

ISSN: 21945357; ISBN: 978-981336965-8

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-33-6966-5_12

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104760034&doi=10.1007%2f978-981-33-6966-5_12&partnerID=40&md5=2e4f8099a7eda8667d616108226ca45b