An approach for Briefest Rules Extraction Based On Compact Dependencies

Abstract

Concept lattice is an effective tool for knowledge representation and data analysis. It have been successfully applied to many fields. This paper illustrates the theory of compact dependencies in concept lattice, then study an approach for briefest rules extraction based on compact dependencies, including briefest decision rules and briefest association rules with confidence of 1. Finally, the method is applied to the example and the relationship between many process parameters and aim parameters,as well as process parameters and other process parameters, are discussed. It provides a useful decision support tool for advanced production management and increases the ability of the decision, which accomplished the validity of the enterprises. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2057