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Conceptual methods for identifying needs of mobile network subscribers. / Palchunov, Dmitry; Yakhyaeva, Gulnara; Dolgusheva, Ekaterina.

In: International Conference on Concept Lattices and Their Applications, Vol. CLA2016, 2016, p. 147-158.

Research output: Contribution to journal › Article › peer-review

Harvard

Palchunov, D, Yakhyaeva, G & Dolgusheva, E 2016, 'Conceptual methods for identifying needs of mobile network subscribers', International Conference on Concept Lattices and Their Applications, vol. CLA2016, pp. 147-158.

APA

Palchunov, D., Yakhyaeva, G., & Dolgusheva, E. (2016). Conceptual methods for identifying needs of mobile network subscribers. International Conference on Concept Lattices and Their Applications, CLA2016, 147-158.

Vancouver

Palchunov D, Yakhyaeva G, Dolgusheva E. Conceptual methods for identifying needs of mobile network subscribers. International Conference on Concept Lattices and Their Applications. 2016;CLA2016:147-158.

Author

Palchunov, Dmitry ; Yakhyaeva, Gulnara ; Dolgusheva, Ekaterina. / Conceptual methods for identifying needs of mobile network subscribers. In: International Conference on Concept Lattices and Their Applications. 2016 ; Vol. CLA2016. pp. 147-158.

BibTeX

@article{cf8889b73bdf45d2b321f8f206bbd00b,
title = "Conceptual methods for identifying needs of mobile network subscribers",
abstract = "The paper is devoted to methods for identifying payment plans and services by mobile operators which are the best for the given subscribers. We base our research on the model-theoretic approach to domain formalization. We use Formal Concept Analysis for processing the mobile subscriber data. An Ontological Model of the domain “Mobile Networks” is constructed in the scope of this research. The Ontological Model of the domain is constructed by integration of data extracted from depersonalized subscriber profiles. The signature of this Ontological Model contains unary predicates which describe subscriber behavior and features of payment plans and services. We consider formal contexts where objects are subscriber models and attributes are formulas of predicate logic. We investigate concept lattices and association rules of these formal contexts. Knowledge about optimal payment plans and services for a given subscriber is generated automatically with the help of the association rules.",
keywords = "Association rules, Concept lattice of formal context, Formal context, Mobile network subscribers, Mobile networks, Ontological model, Ontology",
author = "Dmitry Palchunov and Gulnara Yakhyaeva and Ekaterina Dolgusheva",
year = "2016",
language = "English",
volume = "CLA2016",
pages = "147--158",
journal = "International Conference on Concept Lattices and Their Applications",
issn = "2311-701X",
publisher = "Palacky University Olomouc",

}

RIS

TY - JOUR

T1 - Conceptual methods for identifying needs of mobile network subscribers

AU - Palchunov, Dmitry

AU - Yakhyaeva, Gulnara

AU - Dolgusheva, Ekaterina

PY - 2016

Y1 - 2016

N2 - The paper is devoted to methods for identifying payment plans and services by mobile operators which are the best for the given subscribers. We base our research on the model-theoretic approach to domain formalization. We use Formal Concept Analysis for processing the mobile subscriber data. An Ontological Model of the domain “Mobile Networks” is constructed in the scope of this research. The Ontological Model of the domain is constructed by integration of data extracted from depersonalized subscriber profiles. The signature of this Ontological Model contains unary predicates which describe subscriber behavior and features of payment plans and services. We consider formal contexts where objects are subscriber models and attributes are formulas of predicate logic. We investigate concept lattices and association rules of these formal contexts. Knowledge about optimal payment plans and services for a given subscriber is generated automatically with the help of the association rules.

AB - The paper is devoted to methods for identifying payment plans and services by mobile operators which are the best for the given subscribers. We base our research on the model-theoretic approach to domain formalization. We use Formal Concept Analysis for processing the mobile subscriber data. An Ontological Model of the domain “Mobile Networks” is constructed in the scope of this research. The Ontological Model of the domain is constructed by integration of data extracted from depersonalized subscriber profiles. The signature of this Ontological Model contains unary predicates which describe subscriber behavior and features of payment plans and services. We consider formal contexts where objects are subscriber models and attributes are formulas of predicate logic. We investigate concept lattices and association rules of these formal contexts. Knowledge about optimal payment plans and services for a given subscriber is generated automatically with the help of the association rules.

KW - Association rules

KW - Concept lattice of formal context

KW - Formal context

KW - Mobile network subscribers

KW - Mobile networks

KW - Ontological model

KW - Ontology

UR - http://www.scopus.com/inward/record.url?scp=85007452626&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85007452626

VL - CLA2016

SP - 147

EP - 158

JO - International Conference on Concept Lattices and Their Applications

JF - International Conference on Concept Lattices and Their Applications

SN - 2311-701X

ER -

ID: 25329198