Data mining for decision support on customer insolvency in telecommunications business

DOI10.1016/S0377-2217(02)00532-5zbMath1011.90502OpenAlexW2123738897MaRDI QIDQ1869457

M. Goudara, I. Kopanas, Sophia Daskalaki, Nikolaos Avouris

Publication date: 10 April 2003

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

Full work available at URL: https://doi.org/10.1016/s0377-2217(02)00532-5

zbMATH Keywords

classificationdecision support systemsinsolvencycustomerpredictive data mining

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50)

Related Items (3)

Classification with incomplete survey data: a Hopfield neural network approach ⋮ Insolvency modeling with generalized entropy cost function in neural networks ⋮ Data mining in a bicriteria clustering problem

Cites Work

• A case study in applying neural networks to predicting insolvency for property and casualty insurers
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