master's thesis
Davor Hafnar (Author), Jure Erjavec (Mentor), Jure Demšar (Co-mentor)

Abstract

A comparison of the efficiency of modern machine learning methods for predictive modelling of customer lifetime value

Keywords

informatics;information technology;information systems;customer relationship;consumer;products;measurements;models;satisfaction;economic forecasting;

Data

Language: English
Year of publishing:
Source: Ljubljana
Typology: 2.09 - Master's Thesis
Organization: UL EF - Faculty of Economics
Publisher: [D. Hafnar]
UDC: 0004.8
COBISS: 25549030 Link will open in a new window
Views: 345
Downloads: 51
Average score: 0 (0 votes)
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Other data

Secondary language: Slovenian
Secondary title: Primerjava učinkovitosti sodobnih metod strojnega učenja za napovedovanje življenjske vrednosti stranke
Secondary keywords: informatika;informacijska tehnologija;informacijski sistemi;odnosi s strankami;potrošnik;proizvodi;meritve;modeli;zadovoljstvo;ekonomska predvidevanja;
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. Ljubljana, Ekonomska fak.
Pages: IV, 54, 4 str.
ID: 12255585