Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование
Conceptual methods for identifying needs of mobile network subscribers. / Palchunov, Dmitry; Yakhyaeva, Gulnara; Dolgusheva, Ekaterina.
в: CEUR Workshop Proceedings, Том 1624, 2016, стр. 147-160.Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование
}
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=84983425578&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:84983425578
VL - 1624
SP - 147
EP - 160
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
T2 - 13th International Conference on Concept Lattices and Their Applications, CLA 2016
Y2 - 18 July 2016 through 22 July 2016
ER -
ID: 25329330