Churn Prediction in Telecommunications Using MiningMart

@inproceedings{Timm2005ChurnPI,
  title={Churn Prediction in Telecommunications Using MiningMart},
  author={Ingo J. Timm},
  year={2005}
}
This paper summarises a successful application of Knowledge Discovery in Databases (KDD) in an Italian telecommunications research lab. The aim of the application was to predict customer churn behaviour. A critical success factor for this application was clever preprocessing of the given data, in particular the construction of derived predictor features. The application was realised in the MiningMart KDD system, whose particular strength is data preprocessing on a conceptual level. Since… CONTINUE READING

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