Deep First Formal Concept Search

Joint Authors

Zhang, Tao
Li, Hui
Hong, Wenxue
Yuan, Xiamei
Wei, Xinyu

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-08-31

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

The calculation of formal concepts is a very important part in the theory of formal concept analysis (FCA); however, within the framework of FCA, computing all formal concepts is the main challenge because of its exponential complexity and difficulty in visualizing the calculating process.

With the basic idea of Depth First Search, this paper presents a visualization algorithm by the attribute topology of formal context.

Limited by the constraints and calculation rules, all concepts are achieved by the visualization global formal concepts searching, based on the topology degenerated with the fixed start and end points, without repetition and omission.

This method makes the calculation of formal concepts precise and easy to operate and reflects the integrity of the algorithm, which enables it to be suitable for visualization analysis.

American Psychological Association (APA)

Zhang, Tao& Li, Hui& Hong, Wenxue& Yuan, Xiamei& Wei, Xinyu. 2014. Deep First Formal Concept Search. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1049027

Modern Language Association (MLA)

Zhang, Tao…[et al.]. Deep First Formal Concept Search. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1049027

American Medical Association (AMA)

Zhang, Tao& Li, Hui& Hong, Wenxue& Yuan, Xiamei& Wei, Xinyu. Deep First Formal Concept Search. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1049027

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1049027