Predicting home sale prices: A review of existing methods and illustration of data stream methods for improved performance

Author:

Shi Donghui1ORCID,Guan Jian2,Zurada Jozef2ORCID,Levitan Alan S.3

Affiliation:

1. Department of Computer Engineering, School of Electronics and Information Engineering Anhui Jianzhu University Hefei China

2. Department of Information Systems, Analytics and Operations, College of Business University of Louisville Louisville Kentucky USA

3. School of Accountancy, College of Business University of Louisville Louisville Kentucky USA

Publisher

Wiley

Subject

General Computer Science

Reference53 articles.

1. ARIMA modelling of Lithuanian house price index

2. An innovative clustering approach to market segmentation for improved price prediction;Shi D.;Journal of International Technology and Information Management,2015

3. Relationship between Hong Kong house prices and mortgage flows under deposit‐rate ceiling and linked exchange rate

4. A method to derive housing sub‐markets and reduce spatial dependency

5. Almeida E. C.A.Ferreira andJ.Gama 2013a Learning model rules from high‐speed data streams. InThe 3rd workshop on ubiquitous data mining co‐located with the 23rd international joint conference on artificial intelligence (IJCAI2013): Beijing China. p.10.

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