Predicting Housing Value : Attribute Selection and Dependence Modelling Utilising the Gamma Test

@inproceedings{Wilson2002PredictingHV,
  title={Predicting Housing Value : Attribute Selection and Dependence Modelling Utilising the Gamma Test},
  author={Ian D. Wilson and Antonia J. Jones and David Harrison Jenkins and J. Andrew Ware},
  year={2002}
}
In this paper we show, by means of an example of its application to the problem of house price forecasting, an approach to attribute selection and dependence modelling utilising the Gamma Test (GT), a non-linear analysis algorithm that is described. The GT is employed in a two-stage process: first the GT drives a Genetic Algorithm (GA) to select a useful subset of features from a large dataset that we develop from eight economic statistical series of historical measures that may impact upon… CONTINUE READING
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