DocumentCode :
1676061
Title :
On intent stability index for one-sided concept lattices
Author :
Butka, P. ; Pocsova, J. ; Pocs, J.
Author_Institution :
Dept. of Cybern. & Artificial Intell., Tech. Univ. of Kosice, Kosice, Slovakia
fYear :
2015
Firstpage :
79
Lastpage :
84
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.
Keywords :
data mining; fuzzy set theory; FCA data mining method; fuzzy generalization; intent stability index; one-sided concept lattice; Context; Data mining; Indexes; Lattices; Monte Carlo methods; Stability criteria;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on
Conference_Location :
Timisoara
Type :
conf
DOI :
10.1109/SACI.2015.7208174
Filename :
7208174
Link To Document :
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