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An analysis of customer retention and insurance claim patterns using data mining: a case study

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Publication:3156574
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DOI10.1057/palgrave.jors.2600941zbMath1055.90575OpenAlexW1995544633MaRDI QIDQ3156574

Kate A. Smith, Malcolm Brooks, Robert J. Willis

Publication date: 10 January 2005

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

Full work available at URL: https://doi.org/10.1057/palgrave.jors.2600941


zbMATH Keywords

classificationneural networksclusteringinsurancedata miningcase study


Mathematics Subject Classification ID

Case-oriented studies in operations research (90B90) Artificial intelligence (68T99)


Related Items (5)

CRM in social media: predicting increases in Facebook usage frequency ⋮ IMPROVING PURCHASING BEHAVIOR PREDICTIONS BY DATA AUGMENTATION WITH SITUATIONAL VARIABLES ⋮ Modeling churn using customer lifetime value ⋮ Neural networks in business: Techniques and applications for the operations researcher ⋮ Competition among non-life insurers under solvency constraints: a game-theoretic approach






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