Piotr Kulczycki , Karina Daniel

(Polish) PDF


The subject of the research presented in this paper is the task of decision support concerning strategy of behavior towards a corporate client – a mobile phone network subscriber. Investigations were carried out on a real database made available by one of the Polish GSM network operators. This strategy was defined with the statistical kernel estimators methodology, applied to the problem of discovering atypical elements (outliers), clustering and classification. In turn, elements of fuzzy logic were used to assess different possible combinations of discounts to offer, while the theory of fuzzy preferences was applied in selecting the most advantageous – in the sense of maximizing expectedprofit – variant of behavior for the operator.


data analysis and mining, information technology, systems analysis, marketing strategy, mobile phone market, statistical kernel estimators, fuzzy logic


[1] Barnett V., Lewis T., [1994], Outliers in Statistical Data, Wiley, Chichester.

[2] Burnett K., [2002], Relacje z kluczowymi klientami. Analiza i zarządzanie, Oficyna Ekonomiczna, Warszawa.

[3] Dyche J., [2002], CRM. Relacje z klientami, Helion, Warszawa.

[4] Fodor J., Roubens M., [1994], Fuzzy Preference Modelling and Multicriteria Decision Support, Kluwer, Dordrecht.

[5] Fukunaga K., Hostetler L.D., [1975], The estimation of the gradient of a density function, with applications in pattern recognition, IEEE Transactions on Information Theory, 21(1975)32-40.

[6] Hołubowicz W., Płóciennik P., [1994], Cyfrowe systemy telefonii komórkowej GSM 900, GSM 1800, UMTS, Holkom, Poznań.

[7] Hryniewicz O., [2004], Wykłady ze statystyki dla studentów informatycznych technik zarządzania, Wydawnictwo WSISiZ, Warszawa.

[8] Jagoda A., de Villepin M., [1993], Mobile communications, Wiley, Chichester.

[9] Kacprzyk J., [1986], Zbiory rozmyte w analizie systemowej, PWN, Warszawa.

[10] Krzyśko M., Wołyński W., Górecki T., Skorzybut M., [2008], Systemy uczące się. Rozpoznawanie wzorców, analiza skupień i redukcja wymiarowości, WNT, Warszawa.

[11] Kulczycki P., [2005], Estymatory jądrowe w analizie systemowej, WNT, Warszawa.

[12] Kulczycki P., Charytanowicz M., A Complete Gradient Clustering Algorithm Formed with Kernel Estimators, Applied Mathematics and Computer Science, 19(2009), w druku.

[13] Lake N., [2005], Planowanie strategiczne w firmie, Onepress, Gliwice.

[14] Silverman B.W., [1986], Density Estimation for Statistics and Data Analysis, Chapman and Hall, London.

[15] Wand M.P., Jones M.C., [1995], Kernel Smoothing, Chapman and Hall, London.

[16] Wesołowski K., [1999], Systemy radiokomunikacji ruchomej, WKiŁ, Warszawa.

Back to top
© 2019–2022 Copyright by Statistics Poland, some rights reserved. Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0) Creative Commons — Attribution-ShareAlike 4.0 International — CC BY-SA 4.0