A spatio-temporal, Gaussian process regression, real-estate price predictor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

A spatio-temporal, Gaussian process regression, real-estate price predictor. / Crosby, Henry; Davis, Paul; Damoulas, Theo; Jarvis, Stephen A.

24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016. ed. / Matthias Renz; Mohamed Ali; Shawn Newsam; Matthias Renz; Siva Ravada; Goce Trajcevski. Association for Computing Machinery , 2016. 68 (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Crosby, H, Davis, P, Damoulas, T & Jarvis, SA 2016, A spatio-temporal, Gaussian process regression, real-estate price predictor. in M Renz, M Ali, S Newsam, M Renz, S Ravada & G Trajcevski (eds), 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016., 68, GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, Association for Computing Machinery , 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016, Burlingame, United States, 31/10/16. https://doi.org/10.1145/2996913.2996960

APA

Crosby, H., Davis, P., Damoulas, T., & Jarvis, S. A. (2016). A spatio-temporal, Gaussian process regression, real-estate price predictor. In M. Renz, M. Ali, S. Newsam, M. Renz, S. Ravada, & G. Trajcevski (Eds.), 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016 [68] (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems). Association for Computing Machinery . https://doi.org/10.1145/2996913.2996960

Vancouver

Crosby H, Davis P, Damoulas T, Jarvis SA. A spatio-temporal, Gaussian process regression, real-estate price predictor. In Renz M, Ali M, Newsam S, Renz M, Ravada S, Trajcevski G, editors, 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016. Association for Computing Machinery . 2016. 68. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems). https://doi.org/10.1145/2996913.2996960

Author

Crosby, Henry ; Davis, Paul ; Damoulas, Theo ; Jarvis, Stephen A. / A spatio-temporal, Gaussian process regression, real-estate price predictor. 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016. editor / Matthias Renz ; Mohamed Ali ; Shawn Newsam ; Matthias Renz ; Siva Ravada ; Goce Trajcevski. Association for Computing Machinery , 2016. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).

Bibtex

@inproceedings{5ae3038403554ae38d92c94744014ecb,
title = "A spatio-temporal, Gaussian process regression, real-estate price predictor",
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.",
keywords = "Gaussian Process Regression, Machine Learning, Real Estate Valuation, Space Time Cube, Universal Kriging",
author = "Henry Crosby and Paul Davis and Theo Damoulas and Jarvis, {Stephen A.}",
note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016 ; Conference date: 31-10-2016 Through 03-11-2016",
year = "2016",
month = oct,
day = "31",
doi = "10.1145/2996913.2996960",
language = "English",
series = "GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems",
publisher = "Association for Computing Machinery ",
editor = "Matthias Renz and Mohamed Ali and Shawn Newsam and Matthias Renz and Siva Ravada and Goce Trajcevski",
booktitle = "24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016",

}

RIS

TY - GEN

T1 - A spatio-temporal, Gaussian process regression, real-estate price predictor

AU - Crosby, Henry

AU - Davis, Paul

AU - Damoulas, Theo

AU - Jarvis, Stephen A.

N1 - Publisher Copyright: © 2016 ACM.

PY - 2016/10/31

Y1 - 2016/10/31

N2 - 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.

AB - 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.

KW - Gaussian Process Regression

KW - Machine Learning

KW - Real Estate Valuation

KW - Space Time Cube

KW - Universal Kriging

UR - http://www.scopus.com/inward/record.url?scp=85011103556&partnerID=8YFLogxK

U2 - 10.1145/2996913.2996960

DO - 10.1145/2996913.2996960

M3 - Conference contribution

AN - SCOPUS:85011103556

T3 - GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

BT - 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016

A2 - Renz, Matthias

A2 - Ali, Mohamed

A2 - Newsam, Shawn

A2 - Renz, Matthias

A2 - Ravada, Siva

A2 - Trajcevski, Goce

PB - Association for Computing Machinery

T2 - 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016

Y2 - 31 October 2016 through 3 November 2016

ER -