Staudt, M., Kietz, J.U., Reimer, U.: A data mining support environment and its application to insurance data. In: Procs. KDD. (1998) insurance mining. Home/Search Document Details and Download
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Knowledge Discovery From Distributed And Textual Data - Cho (1999) (1 citation) (Correct)
....prediction. These can be used for countless strategic and operational purposes: calculating the fit of an applicant to the market, predicting future shortages, determining market wages, outsourcing, adaptation of training programs, developing public policy and so on. Insurance Staudt et al. [136] utilize the database in Swiss Life, an insurance company, to identify future potential clients and prevent existing customers from terminating their insurance contracts. This relates to a project in Swiss Life which is concerned with the design and implementation of a data mining environment. ....
Staudt M., Kietz J.U. and Reimer U., "A Data Mining Support Environment and its Application on Insurance Data", KDD-98, pp.105-111, 1998.
Analysing Customer Churn in Insurance Data - A Case Study - Morik, Köpcke (2004) (Correct)
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Staudt, M., Kietz, J.U., Reimer, U.: A data mining support environment and its application to insurance data. In: Procs. KDD. (1998) insurance mining.
Analysing Customer Churn in Insurance Data - A Case Study - Morik, Köpcke (2004) (Correct)
No context found.
Staudt, M., Kietz, J.U., Reimer, U.: A data mining support environment and its application to insurance data. In: Procs. KDD. (1998) insurance mining.
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