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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>A comparison of the efficiency of modern machine learning methods for predictive modelling of customer lifetime value</dc:title><dc:creator>Hafnar,	Davor	(Avtor)
	</dc:creator><dc:creator>Erjavec,	Jure	(Mentor)
	</dc:creator><dc:creator>Demšar,	Jure	(Komentor)
	</dc:creator><dc:subject>informatics</dc:subject><dc:subject>information technology</dc:subject><dc:subject>information systems</dc:subject><dc:subject>customer relationship</dc:subject><dc:subject>consumer</dc:subject><dc:subject>products</dc:subject><dc:subject>measurements</dc:subject><dc:subject>models</dc:subject><dc:subject>satisfaction</dc:subject><dc:subject>economic forecasting</dc:subject><dc:publisher>[D. Hafnar]</dc:publisher><dc:date>2020</dc:date><dc:date>2020-12-15 07:35:35</dc:date><dc:type>Magistrsko delo/naloga</dc:type><dc:identifier>122804</dc:identifier><dc:identifier>UDK: 0004.8</dc:identifier><dc:identifier>COBISS_ID: 25549030</dc:identifier><dc:language>sl</dc:language></metadata>
