Use of Concept Lattices for Data Tables with Different Types of Attributes

Use of Concept Lattices for Data Tables with Different Types of Attributes

In this paper we describe the application of Formal Concept Analysis (FCA) for analysis of data tables with different types of attributes. FCA represents one of the conceptual data mining methods. The main limitation of FCA in classical case is the exclusive usage of binary attributes. More complex...

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Bibliographic Details
Main Authors: Peter Butka, Jozef Pocs, Jana Pocsova
Format: Article
Language:English
Published: University of Zagreb, Faculty of organization and informatics 2012-06-01
Series:Journal of Information and Organizational Sciences
Subjects:
formal concept analysis
concept lattices
data mining
fuzzy logic
Online Access:http://jios.foi.hr/index.php/jios/article/view/228

Internet

http://jios.foi.hr/index.php/jios/article/view/228

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