A comparative study of artificial neural networks and logistic regression for classification of marketing campaign results

DOI10.3390/MCA18030392OpenAlexW2341517870MaRDI QIDQ1649262

Ali Aydın Koç, Özgür Yeniay

Publication date: 5 July 2018

Published in: Mathematical \& Computational Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/mca18030392

zbMATH Keywords

classificationmarketinglogistic regressionartificial neural networks

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Marketing, advertising (90B60)

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