Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDG models

DOI10.1016/j.ejor.2004.05.004zbMath1091.90527OpenAlexW2010568577MaRDI QIDQ2575561

Anita Prinzie, Dirk Van den Poel

Publication date: 5 December 2005

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2004.05.004

zbMATH Keywords

marketingdata miningbankingbusiness intelligencecross-sellanalytical customer relationship management (CRM)financial-services industrymixture transition distribution (MTD) modelsMTDg models

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Marketing, advertising (90B60)

Related Items (11)

Behavior-aware user response modeling in social media: learning from diverse heterogeneous data ⋮ Predictive analytics model for healthcare planning and scheduling ⋮ A multi-kernel support tensor machine for classification with multitype multiway data and an application to cross-selling recommendations ⋮ Computer assisted customer churn management: state-of-the-art and future trends ⋮ Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences ⋮ Analyzing consumers' shopping behavior using RFID data and pattern mining ⋮ Long-term developments of respondent financial product portfolios in the EU: a multilevel latent class analysis ⋮ A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data ⋮ Optimization models for targeted offers in direct marketing: exact and heuristic algorithms ⋮ Multidisciplinary pattern recognition applications: a review ⋮ Models for purchase frequency

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