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Integration of Fuzzy Model Theory and FCA for Big Data Mining. / Palchunov, D. E.; Yakhyaeva, G. E.

SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 961-966 8958216 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

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

Harvard

Palchunov, DE & Yakhyaeva, GE 2019, Integration of Fuzzy Model Theory and FCA for Big Data Mining. in SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings., 8958216, SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 961-966, 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019, Novosibirsk, Russian Federation, 21.10.2019. https://doi.org/10.1109/SIBIRCON48586.2019.8958216

APA

Palchunov, D. E., & Yakhyaeva, G. E. (2019). Integration of Fuzzy Model Theory and FCA for Big Data Mining. In SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings (pp. 961-966). [8958216] (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBIRCON48586.2019.8958216

Vancouver

Palchunov DE, Yakhyaeva GE. Integration of Fuzzy Model Theory and FCA for Big Data Mining. In SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 961-966. 8958216. (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings). doi: 10.1109/SIBIRCON48586.2019.8958216

Author

Palchunov, D. E. ; Yakhyaeva, G. E. / Integration of Fuzzy Model Theory and FCA for Big Data Mining. SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 961-966 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).

BibTeX

@inproceedings{2bf03d50c2074a7d9af538c03683e4f5,
title = "Integration of Fuzzy Model Theory and FCA for Big Data Mining",
abstract = "In this paper, we explore two different approaches to Big Data Mining: The Fuzzy Model Theory and the Formal Concept Analysis. We carry out the integration of these two approaches for solving the problem of constructing semantic models of domains. In the present paper, we focus on the third and fourth levels of sematic models, which formalizes via case models and fuzzy models of domains. We represent the basic notions of the FCA on the fuzzy model language and describe which formula extensions formal contexts allow us to find a new knowledge about the given domain.",
keywords = "associative rule, Boolean-valued model, case model, formal concept, formal context, formula extension of formal context, fuzzy model, fuzzy model theory, semantic model",
author = "Palchunov, {D. E.} and Yakhyaeva, {G. E.}",
year = "2019",
month = oct,
day = "1",
doi = "10.1109/SIBIRCON48586.2019.8958216",
language = "English",
series = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "961--966",
booktitle = "SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings",
address = "United States",
note = "2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019 ; Conference date: 21-10-2019 Through 27-10-2019",

}

RIS

TY - GEN

T1 - Integration of Fuzzy Model Theory and FCA for Big Data Mining

AU - Palchunov, D. E.

AU - Yakhyaeva, G. E.

PY - 2019/10/1

Y1 - 2019/10/1

N2 - In this paper, we explore two different approaches to Big Data Mining: The Fuzzy Model Theory and the Formal Concept Analysis. We carry out the integration of these two approaches for solving the problem of constructing semantic models of domains. In the present paper, we focus on the third and fourth levels of sematic models, which formalizes via case models and fuzzy models of domains. We represent the basic notions of the FCA on the fuzzy model language and describe which formula extensions formal contexts allow us to find a new knowledge about the given domain.

AB - In this paper, we explore two different approaches to Big Data Mining: The Fuzzy Model Theory and the Formal Concept Analysis. We carry out the integration of these two approaches for solving the problem of constructing semantic models of domains. In the present paper, we focus on the third and fourth levels of sematic models, which formalizes via case models and fuzzy models of domains. We represent the basic notions of the FCA on the fuzzy model language and describe which formula extensions formal contexts allow us to find a new knowledge about the given domain.

KW - associative rule

KW - Boolean-valued model

KW - case model

KW - formal concept

KW - formal context

KW - formula extension of formal context

KW - fuzzy model

KW - fuzzy model theory

KW - semantic model

UR - http://www.scopus.com/inward/record.url?scp=85079070025&partnerID=8YFLogxK

UR - https://elibrary.ru/item.asp?id=43237671

U2 - 10.1109/SIBIRCON48586.2019.8958216

DO - 10.1109/SIBIRCON48586.2019.8958216

M3 - Conference contribution

AN - SCOPUS:85079070025

T3 - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

SP - 961

EP - 966

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019

Y2 - 21 October 2019 through 27 October 2019

ER -

ID: 23425855