Predicting customer churn in e-commerce using logistic regression

@inproceedings{74225,
   author = {Kvíčala, Daniel and Klepek, Martin},
   address = {Karvina},
   editor = {Roman Šperka, Petr Suchánek, Jarmila Duháček Šebestová, Radim Dolák, Tomáš Barčák, Radka Bauerová, Šárka Čemerková, Michal Halaška, Radmila Krkošková, Kateřina Matušínská, Jiří Mazurek, Žaneta Rylková, Šárka Zapletalová,},
   keywords = {e-commerce, customer lifetime value, customer loyalty, logistic regression, retention},
   language = {eng},
   location = {Karvina},
   isbn = {978-80-7510-554-7},
   pages = {106-115},
   publisher = {Silesian University in Opava},
   title = {Predicting customer churn in e-commerce using logistic regression},
   year = {2023}
}

TY  - JOUR
ID  - 74225
AU  - Kvíčala, Daniel - Klepek, Martin
PY  - 2023
TI  - Predicting customer churn in e-commerce using logistic regression
PB  - Silesian University in Opava
CY  - Karvina
SN  - 9788075105547
KW  - e-commerce, customer lifetime value, customer loyalty, logistic regression, retention
ER  - 

KVÍČALA, Daniel and Martin KLEPEK. \textit{Predicting customer churn in e-commerce using logistic regression}. Karvina: Silesian University in Opava, 2023, p.~106-115. ISBN~978-80-7510-554-7.