학술논문

On intent stability index for one-sided concept lattices
Document Type
Conference
Source
2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on. :79-84 May, 2015
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Robotics and Control Systems
Stability criteria
Lattices
Indexes
Context
Data mining
Monte Carlo methods
Language
Abstract
The intent stability index represents an useful relevancy measure of the extracted patterns in the FCA data mining method. We describe this kind of relevancy measure for the so-called one-sided concept lattices, which represent a fuzzy generalization of the classical FCA. The basic properties of the stability index and some experimental results concerning this index conducted on randomly generated dataset are discussed.