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Integration of Fuzzy Model Theory and FCA for Big Data Mining

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

DOI

https://doi.org/10.1109/SIBIRCON48586.2019.8958216
Final published version

Original language	English
Title of host publication	SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	961-966
Number of pages	6
ISBN (Electronic)	9781728144016
ISBN (Print)	9781728144016
DOIs	https://doi.org/10.1109/SIBIRCON48586.2019.8958216
Publication status	Published - 1 Oct 2019
Event	2019 International Multi-Conference on Engineering, Computer and Information Sciences - Novosibirsk, Tomsk, Yekaterinburg, Russian Federation Duration: 21 Oct 2019 → 27 Oct 2019 Conference number: V https://ieeexplore.ieee.org/xpl/conhome/1002416/all-proceedings https://sibircon.ieeesiberia.org/

Publication series

Name	SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

Conference

Conference	2019 International Multi-Conference on Engineering, Computer and Information Sciences
Abbreviated title	2019 SIBIRCON
Country/Territory	Russian Federation
City	Novosibirsk, Tomsk, Yekaterinburg
Period	21.10.2019 → 27.10.2019
Internet address	https://ieeexplore.ieee.org/xpl/conhome/1002416/all-proceedings https://sibircon.ieeesiberia.org/

OECD FOS+WOS

1.01 MATHEMATICS
1.02 COMPUTER AND INFORMATION SCIENCES
1.03 PHYSICAL SCIENCES AND ASTRONOMY
2.02 ELECTRICAL ENG, ELECTRONIC ENG
5.09 OTHER SOCIAL SCIENCES

Research areas

associative rule, Boolean-valued model, case model, formal concept, formal context, formula extension of formal context, fuzzy model, fuzzy model theory, semantic model

ID: 23425855