BUILDING CUSTOMER MODELS FROM BUSINESS DATA: AN AUTOMATIC APPROACH BASED ON FUZZY CLUSTERING AND MACHINE LEARNING

DOI10.1142/S1469026809002692zbMath1185.68512OpenAlexW2023000676MaRDI QIDQ3401070

Nadia Fadhel, Béchir Ayeb, Lotfi Ben Romdhane

Publication date: 28 January 2010

Published in: International Journal of Computational Intelligence and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1469026809002692

zbMATH Keywords

information theorydata miningfuzzy clusteringdimensionality reductionbackpropagation networkscustomer profilingcustomer relationships management

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Cites Work

• Fuzzy \(c\)-means clustering and internet portals: a case study
• Learning representations by back-propagating errors
• Data mining of association structures to model consumer behaviour.
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