by Jirapond Tadrat, Veera Boonjing, Puntip Pattaraintakorn
Abstract:
In this work, we aim at developing a better knowledge base by using formal concept analysis (FCA) and propose its new similarity measure based on vector model for case-based reasoning (CBR). The features of our proposed approaches are illustrated using a part of CBR system for both classification and problem-solving. Concept lattice knowledge base provides more accuracy classification for hierarchical data structure when comparing with non-hierarchical data structure. Dependency induced from our concept lattice knowledge base can help to suggest informative solutions for problem-solving CBR. In addition, our similarity measure improves the accuracy of classification CBR significantly when we perform experiments on the UCI data sets with cross validation.
Reference:
A new similarity measure in formal concept analysis for case-based reasoning (Jirapond Tadrat, Veera Boonjing, Puntip Pattaraintakorn), In Expert Systems with Applications, Elsevier Ltd, 2011.
Bibtex Entry:
@article{Tadrat2011,
abstract = {In this work, we aim at developing a better knowledge base by using formal concept analysis (FCA) and propose its new similarity measure based on vector model for case-based reasoning (CBR). The features of our proposed approaches are illustrated using a part of CBR system for both classification and problem-solving. Concept lattice knowledge base provides more accuracy classification for hierarchical data structure when comparing with non-hierarchical data structure. Dependency induced from our concept lattice knowledge base can help to suggest informative solutions for problem-solving CBR. In addition, our similarity measure improves the accuracy of classification CBR significantly when we perform experiments on the UCI data sets with cross validation.},
author = {Tadrat, Jirapond and Boonjing, Veera and Pattaraintakorn, Puntip},
doi = {10.1016/j.eswa.2011.07.096},
issn = {09574174},
journal = {Expert Systems with Applications},
keywords = {SML-LIB-BIBLIO,Semantic Similarity,case-based reasoning,formal concept analysis,knowledge representation,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,Semantic Similarity,lang:ENG},
month = aug,
number = {August},
publisher = {Elsevier Ltd},
title = {{A new similarity measure in formal concept analysis for case-based reasoning}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S095741741101058X},
year = {2011}
}