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A spatio-temporal, Gaussian Process Regression, real-estate price predictor
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Crosby, Henry James, Davis, Paul, Damoulas, Theodoros and Jarvis, Stephen A. (2016) A spatio-temporal, Gaussian Process Regression, real-estate price predictor. In: 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), San Francisco, 31 Oct - 3 Nov 2016. Published in: GIS '16 Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems p. 68. ISBN 9781450345897 .
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WRAP-Spatio-temporal-real-estate-Jarvis-2016.pdf - Accepted Version - Requires a PDF viewer. Download (952Kb) | Preview |
Official URL: http://dx.doi.org/10.1145/2996913.2996960
Abstract
This paper introduces a novel four-stage methodology for real-estate valuation. This research shows that space, property, economic, neighbourhood and time features are all contributing factors in producing a house price predictor in which validation shows a 96.6% accuracy on Gaussian Process Regression beating regression-kriging, random forests and an M5P-decision-tree. The output is integrated into a commercial real estate decision engine.
Item Type: | Conference Item (Paper) | ||||||
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Alternative Title: | |||||||
Subjects: | H Social Sciences > HD Industries. Land use. Labor Q Science > Q Science (General) Q Science > QA Mathematics T Technology > TN Mining engineering. Metallurgy |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | Gaussian processes , Kriging, Machine learning, Real property, Real property—Valuation | ||||||
Journal or Publication Title: | GIS '16 Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems | ||||||
Publisher: | ACM | ||||||
ISBN: | 9781450345897 | ||||||
Official Date: | 1 October 2016 | ||||||
Dates: |
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Page Range: | p. 68 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 4 November 2016 | ||||||
Date of first compliant Open Access: | 26 April 2017 | ||||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||||
Grant number: | EP/ L016400/ 1 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016) | ||||||
Type of Event: | Conference | ||||||
Location of Event: | San Francisco | ||||||
Date(s) of Event: | 31 Oct - 3 Nov 2016 | ||||||
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