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