Interpretation of association rules in multi-tier structures

Li, Yuefeng & Wu, Jingtong (2014) Interpretation of association rules in multi-tier structures. International Journal of Approximate Reasoning, 55(6), pp. 1439-1457.

View at publisher


Dealing with the large amount of data resulting from association rule mining is a big challenge. The essential issue is how to provide efficient methods for summarizing and representing meaningful discovered knowledge from databases. This paper presents a new approach called multi-tier granule mining to improve the performance of association rule mining. Rather than using patterns, it uses granules to represent knowledge that is implicitly contained in relational databases. This approach also uses multi-tier structures and association mappings to interpret association rules in terms of granules. Consequently, association rules can be quickly assessed and meaningless association rules can be justified according to these association mappings. The experimental results indicate that the proposed approach is promising

Impact and interest:

2 citations in Scopus
Search Google Scholar™
2 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 72159
Item Type: Journal Article
Refereed: Yes
Keywords: Association rule mining, Decision rules, Granule mining, Rough sets
DOI: 10.1016/j.ijar.2014.04.015
ISSN: 0888-613X
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 Elsevier Inc.
Deposited On: 27 May 2014 23:26
Last Modified: 07 May 2015 03:19

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page