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A comparison of the efficiency of modern machine learning methods for predictive modelling of customer lifetime value : master's thesis
ID Hafnar, Davor (Author), ID Erjavec, Jure (Mentor) More about this mentor... This link opens in a new window, ID Demšar, Jure (Co-mentor)

URLURL - Presentation file, Visit http://www.cek.ef.uni-lj.si/magister/hafnar3748-B.pdf This link opens in a new window

Language:English
Keywords:informatics, information technology, information systems, customer relationship, consumer, products, measurements, models, satisfaction, economic forecasting
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EF - School of Economics and Business
Place of publishing:Ljubljana
Publisher:[D. Hafnar]
Year:2020
Number of pages:IV, 54, 4 str.
PID:20.500.12556/RUL-122804 This link opens in a new window
UDC:0004.8
COBISS.SI-ID:25549030 This link opens in a new window
Publication date in RUL:15.12.2020
Views:753
Downloads:69
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Secondary language

Language:Slovenian
Title:Primerjava učinkovitosti sodobnih metod strojnega učenja za napovedovanje življenjske vrednosti stranke
Keywords:informatika, informacijska tehnologija, informacijski sistemi, odnosi s strankami, potrošnik, proizvodi, meritve, modeli, zadovoljstvo, ekonomska predvidevanja

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