Customer segmentation and strategy development based on customer lifetime value: A case study

By Su-yeon Kim, Taesoo Jung, E. Suh, Hyunseok Hwang. Expert systems with applications, 2006

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MGAE: Marginalized Graph Autoencoder for Graph Clustering (2017, background): “is has become one of the most important tasks in many applications, such as community detection [6], customer group segmentation [14], and functional group discovery in enterprise social networks [12].”
Attributed Graph Clustering: A Deep Attentional Embedding Approach (2019, background): “Typical applications include community detection [Hastings, 2006], group segmentation [Kim et al., 2006], and functional group discovery in enterprise social networks [Hu et al.”
Domain knowledge integration in data mining using decision tables: case studies in churn prediction (2009, methodology): “As emphasised by Kim et al (2006), it is necessary to consider the churn probability in the lifetime evaluation of a customer, instead of only looking at past profit history.”
Application of data mining techniques in customer relationship management: A literature review and classification (2009, background): “One-to-one marketing refers to personalized marketing campaigns which are supported by analysing, detecting and predicting changes in customer behaviours (Chen, Chiu, & Chang, 2005; Jiang & Tuzhilin, 2006; Kim & Moon, 2006).”