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Modeling Data Mining Applications for Prediction of Prepaid Churn in Telecommunication Services

Goran Kraljević ; HT Mostar, Mostar, Croatia
Sven Gotovac   ORCID icon orcid.org/0000-0002-5014-5000 ; Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatia

Puni tekst: hrvatski, pdf (1 MB) str. 275-283 preuzimanja: 6.277* citiraj
APA 6th Edition
Kraljević, G. i Gotovac, S. (2010). Modeliranje Data Mining aplikacija za detekciju churna Prepaid korisnika telekomunikacijskih usluga. Automatika, 51 (3), 275-283. Preuzeto s https://hrcak.srce.hr/61550
MLA 8th Edition
Kraljević, Goran i Sven Gotovac. "Modeliranje Data Mining aplikacija za detekciju churna Prepaid korisnika telekomunikacijskih usluga." Automatika, vol. 51, br. 3, 2010, str. 275-283. https://hrcak.srce.hr/61550. Citirano 25.06.2019.
Chicago 17th Edition
Kraljević, Goran i Sven Gotovac. "Modeliranje Data Mining aplikacija za detekciju churna Prepaid korisnika telekomunikacijskih usluga." Automatika 51, br. 3 (2010): 275-283. https://hrcak.srce.hr/61550
Harvard
Kraljević, G., i Gotovac, S. (2010). 'Modeliranje Data Mining aplikacija za detekciju churna Prepaid korisnika telekomunikacijskih usluga', Automatika, 51(3), str. 275-283. Preuzeto s: https://hrcak.srce.hr/61550 (Datum pristupa: 25.06.2019.)
Vancouver
Kraljević G, Gotovac S. Modeliranje Data Mining aplikacija za detekciju churna Prepaid korisnika telekomunikacijskih usluga. Automatika [Internet]. 2010 [pristupljeno 25.06.2019.];51(3):275-283. Dostupno na: https://hrcak.srce.hr/61550
IEEE
G. Kraljević i S. Gotovac, "Modeliranje Data Mining aplikacija za detekciju churna Prepaid korisnika telekomunikacijskih usluga", Automatika, vol.51, br. 3, str. 275-283, 2010. [Online]. Dostupno na: https://hrcak.srce.hr/61550. [Citirano: 25.06.2019.]

Sažetak
This paper defines an advanced methodology for modeling applications based on Data Mining methods that represents a logical framework for development of Data Mining applications. Methodology suggested here for Data Mining modeling process has been applied and tested through Data Mining applications for predicting Prepaid users churn in the telecom industry. The main emphasis of this paper is defining of a successful model for prediction of potential Prepaid churners, in which the most important part is to identify the very set of input variables that are high enough to make the prediction model precise and reliable. Several models have been created and compared on the basis of different Data Mining methods and algorithms (neural networks, decision trees, logistic regression). For the modeling examples we used WEKA analysis tool.

Ključne riječi
Data Mining applications; Prepaid churn model; Neural networks; Decision trees; Logistic regression

Hrčak ID: 61550

URI
https://hrcak.srce.hr/61550

[hrvatski]

Posjeta: 7.106 *