- Tytuł:
- Entropy Based Trees to Support Decision Making for Customer Churn Management
- Autorzy:
-
Gajowniczek, K.
Orłowski, A.
Ząbkowski, T. - Powiązania:
- https://bibliotekanauki.pl/articles/1398869.pdf
- Data publikacji:
- 2016-05
- Wydawca:
- Polska Akademia Nauk. Instytut Fizyki PAN
- Tematy:
-
05.45.Tp
05.40.Ca
07.05.Kf
07.05.Mh - Opis:
- In this work we analyze empirically customer churn problem from a physical point of view to provide objective, data driven and significant answers to support decision making process in business application. In particular, we explore different entropy measures applied to decision trees and assess their performance from the business perspective using set of model quality measures often used in business practice. Additionally, the decision trees are compared with logistic regression and two machine learning methods - neural networks and support vector machines.
- Źródło:
-
Acta Physica Polonica A; 2016, 129, 5; 971-979
0587-4246
1898-794X - Pojawia się w:
- Acta Physica Polonica A
- Dostawca treści:
- Biblioteka Nauki
Artykuł