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Exploring Attributes with Domain Knowledge in Formal Concept Analysis
Published in Faculty of Electrical Engineering and Computing, Univ. of Zagreb
2013
Volume: 21
   
Issue: 2
Pages: 109 - 123
Abstract
Recent literature reports the growing interests in data analysis using FormalConceptAnalysis (FCA), inwhich data is represented in the form of object and attribute relations. FCA analyzes and then subsequently visualizes the data based on duality called Galois connection. Attribute exploration is a knowledge acquisition process in FCA, which interactively determines the implications holding between the attributes. The objective of this paper is to demonstrate the attribute exploration to understand the dependencies among the attributes in the data. While performing this process, we add domain experts' knowledge as background knowledge. We demonstrate the method through experiments on two real world healthcare datasets. The results show that the knowledge acquired through exploration process coupled with domain expert knowledge has better classification accuracy.
About the journal
JournalJournal of Computing and Information Technology
PublisherFaculty of Electrical Engineering and Computing, Univ. of Zagreb
ISSN1330-1136
Open Access0