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- Publisher
- Emerald Publishing
- Copyright
- Copyright © 1998 MCB UP Ltd. All rights reserved.
- ISSN
- 0960-2712
- DOI
- 10.1108/14635789810205128
- Publisher site
- See Article on Publisher Site
Abstract
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 outcomes are within the range of valuation acceptability and examines issues relating to potential biasing and repeatability of results.
Journal
Journal of Property Valuation and Investment – Emerald Publishing
Published: Mar 1, 1998
Keywords: Neural networks; Property; Valuation