The potential application of data mining techniques in the extraction of information from
property data sets is discussed. Particular interest is focused upon neural networks in the
valuation of residential property with an evaluation of their ability to predict. Model testing
infers a wide variation in the range of outputs with best results for stratified market subsets,
using postal code as a locational delimiter. The paper questions whether predicted ...