Title: Discovery of inconsistent generalised coherent rules

Authors: R. Anuradha; N. Rajkumar; G. Rathi; S. Prince Sahaya Brighty

Addresses: Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Coimbatore, India ' Nehru Institute of Technology, Coimbatore, India ' Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Coimbatore, India ' Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, Coimbatore, India

Abstract: Mining multiple-level association rules in a predefined taxonomy is an hierarchy that paves the way for generalised rule mining using interestingness measures like support and confidence. Coherent rule mining identifies significant rules in a database without using interestingness measures. In this paper, we propose a new mining algorithm called generalised inconsistent coherent rule mining (GICRM) for mining a new form of generalised coherent rules called inconsistent coherent rules. The discovered rules are called inconsistent because the correlation of the rules changes from one level of taxonomy to another. The rules are mined from a structured dataset of predefined taxonomy. The inconsistent rules mined would be noteworthy at the business point of view for taking strategic decisions in market basket analysis.

Keywords: generalised inconsistent coherent rule mining; GICRM; multiple-level; generalised inconsistent coherent rule; taxonomy.

DOI: 10.1504/IJBIDM.2021.115478

International Journal of Business Intelligence and Data Mining, 2021 Vol.18 No.4, pp.435 - 448

Received: 27 Nov 2017
Accepted: 26 Oct 2018
Published online: 07 Jun 2021 *

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