A comparison of the efficiency of modern machine learning methods for predictive modelling of customer lifetime value : master's thesis

Hafnar, Davor (author), Erjavec, Jure (mentor), Demšar, Jure (comentor)

• 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
• UDC: 0004.8
• COBISS.SI-ID: 25549030
• Publication date in RUL: 15.12.2020

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