Intelligent structuring and reducing of association rules with formal concept analysis

68Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Association rules are used to investigate large databases. The analyst is usually confronted with large lists of such rules and has to find the most relevant ones for his purpose. Based on results about knowledge representation within the theoretical framework of Formal Concept Analysis, we present relatively small bases for association rules from which all rules can be deduced. We also provide algorithms for their calculation.

Cite

CITATION STYLE

APA

Stumme, G., Taouil, R., Bastide, Y., Pasquier, N., & Lakhal, L. (2001). Intelligent structuring and reducing of association rules with formal concept analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2174, pp. 335–350). Springer Verlag. https://doi.org/10.1007/3-540-45422-5_24

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free