Layered Concept Lattice Model and Its Application to Build Rapidly Concept Lattice
Joint Authors
Wu, Xia
Zhang, Jialu
Zhong, Jiaming
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-11
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
When some attributes of a formal context can be decomposed into some subattributes a model of layered concept lattice to improve the efficiency of building concept lattice with complex structure attribute data is studied, the relationship between concept lattice and layered concept is discussed.
Two algorithms are proposed: one is the roll-up building algorithm in which the upper concepts are built by the lower concept and the other is the drill-down algorithm in which the lower concepts are built by the upper concept.
The examples and experiments show that the layered concept lattice model can be used to model complex structure attribute data, and the roll-up building algorithm and the drill-down algorithm are effective.
The layered concept lattice model expands the scope of the research and application of concept lattice, the roll-up building algorithm, and drill-down algorithm of layered concept lattice to improve the efficiency for building concept lattice.
American Psychological Association (APA)
Wu, Xia& Zhang, Jialu& Zhong, Jiaming. 2020. Layered Concept Lattice Model and Its Application to Build Rapidly Concept Lattice. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1138773
Modern Language Association (MLA)
Wu, Xia…[et al.]. Layered Concept Lattice Model and Its Application to Build Rapidly Concept Lattice. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1138773
American Medical Association (AMA)
Wu, Xia& Zhang, Jialu& Zhong, Jiaming. Layered Concept Lattice Model and Its Application to Build Rapidly Concept Lattice. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1138773
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138773