Exploring Different Paradigms to Extract Proper Implications From High Dimensional Formal Contexts
Formal Concept Analysis (FCA) is an applied mathematical technique for data analysis, in which the relations between objects and attributes are identified. It introduces the notion of concepts and their hierarchical structure, from which we can obtain a set of implications between attributes that ch...
Main Authors: | Julio C. V. Neves, Pedro Henrique Batista Ruas Da Silveira, Rokia Missaoui, Sergio M. Dias, Luis E. Zarate, Mark A. J. Song |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9144569/ |
Similar Items
-
ImplicPBDD: A New Approach to Extract Proper Implications Set from High-Dimension Formal Contexts Using a Binary Decision Diagram <sup>†</sup>
by: Phillip G. Santos, et al.
Published: (2018-10-01) -
The Binary Decision Diagram: Formal Verification of a Reference Implementation
by: Rumreich, Laine
Published: (2021) -
Expected Numbers of Proper Premises and Concept Intents
by: Distel, Felix, et al.
Published: (2011) -
Fuzzy Implication and Functional Dependency on Formal Context
by: Mohammad Deni Akbar, et al.
Published: (2020-02-01) -
Study of Implication Representation Based on Decision Implication
by: WANG Yali, ZHAI Yanhui, ZHANG Shaoxia, JIA Nan, LI Deyu
Published: (2021-07-01)