2026-04-13T18:50:35Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/861822025-07-17T03:33:46Zcom_2072_1033col_2072_452950

Predictive models in churn data mining: a review García, David L. Vellido Alcacena, Alfredo Nebot Castells, M. Àngela Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics Universitat Politècnica de Catalunya. SOCO - Soft Computing Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial Churn Data mining Predictive models The development of predictive models of customer abandonment plays a central role in any churn management strategy. These models can be developed using either qualitative approaches or can take a data-centred point of view. In the latter case, the use of Data Mining procedures and techniques can provide useful and actionable insights into the processes leading to abandonment. In this report, we provide a brief and structured review of some of the Data Mining approaches that have been put forward in recent academic literature for customer abandonment prediction. Postprint (published version) 2007-01 External research report García, D., Vellido, A., Nebot, M. "Predictive models in churn data mining: a review". 2007. https://hdl.handle.net/2117/86182 eng LSI-07-4-R Open Access 12 p. application/pdf