Comparative evaluation on concept approximation approaches

Jitender Deogun, Liying Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Formal Concept Analysis (FCA) is a method for deriving conceptual structures out of data that are represented as objects with features. FCA discovers dependencies within the data based on the relation among objects and features. However, not every pair of objects and features defines a concept. Concept approximation is to find the best or closest concepts) to approximate a pair of objects and features. Concept approximation is significant in that under the circumstances that we can not find a concept, using concept approximation will give the best or most possible solution. In this paper, we evaluate three approaches through experiments in the application of document retrieval. We provide analysis of these approaches and give our concluding remarks.

Original languageEnglish (US)
Title of host publicationProceedings - 5th International Conference on Intelligent Systems Design and Applications, ISDA '05
Pages438-443
Number of pages6
DOIs
StatePublished - 2005
Event5th International Conference on Intelligent Systems Design and Applications, ISDA '05 - Wroclaw, Poland
Duration: Sep 8 2005Sep 10 2005

Publication series

NameProceedings - 5th International Conference on Intelligent Systems Design and Applications 2005, ISDA '05
Volume2005

Conference

Conference5th International Conference on Intelligent Systems Design and Applications, ISDA '05
Country/TerritoryPoland
CityWroclaw
Period9/8/059/10/05

ASJC Scopus subject areas

  • Engineering(all)

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