The Development of an Automatic Tool for Formal Concept Analysis and its Applications on Medical Domain


The KIPS Transactions:PartD, Vol. 13, No. 7, pp. 997-1008, Dec. 2006
10.3745/KIPSTD.2006.13.7.997,   PDF Download:

Abstract

For extracting and processing information explicitly from given data, Formal Concept Analysis(FCA) is provided a method which is widely used for data analysis and clustering. The data can be structured into concepts, which are formal abstractions human thought allowing meaningful comprehensible interpretation. However, most FCA tools mainly focus on analyzing one-valued contexts that represent objects, attributes and binary relations between them. There are few FCA tools available that provide scaling and analyzing many-valued contexts representing objects, attributes and relations with attributes' values. In this paper, we propose not only a scaling algorithm for interpreting and simplifying the multivalued input data, but also an algorithm to generate concepts and build concept hierarchy from given raw data as well. Based on these algorithms, we develop an automatic tool, FCA Wizard, for concept analysis and concept hierarchy. We also present FCA Wizard based applications in medical domain.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
H. G. Kim, Y. K. Kang, S. H. Hwang, D. S. Kim, "The Development of an Automatic Tool for Formal Concept Analysis and its Applications on Medical Domain," The KIPS Transactions:PartD, vol. 13, no. 7, pp. 997-1008, 2006. DOI: 10.3745/KIPSTD.2006.13.7.997.

[ACM Style]
Hong Gee Kim, Yu Kyung Kang, Suk Hyung Hwang, and Dong Soon Kim. 2006. The Development of an Automatic Tool for Formal Concept Analysis and its Applications on Medical Domain. The KIPS Transactions:PartD, 13, 7, (2006), 997-1008. DOI: 10.3745/KIPSTD.2006.13.7.997.