Research on Factors Affecting Real Estate Values by Data Mining

Filiz Ersoz (), Ersoz Taner and Soydan Muhammet
Additional contact information
Ersoz Taner: Karabük University,Karabük, Turkey
Soydan Muhammet: Sakarya University,Sakarya, Turkey

Baltic Journal of Real Estate Economics and Construction Management, 2018, vol. 6, issue 1, 220-239

Abstract: Construction sector has an important place in Turkey’s economy. Real estate sales for the sector are increasing in parallel. However, the purchase cost is also important for those who are willing to buy a real estate. In the acquisition of real estate, factors such as size, location and age of the house are taken into consideration. The aim of the article is to conduct research on factors affecting real estate values by data mining. In this study, the most important variables that determine the value of the real estate have been investigated by data mining methods. The research has been carried out in Karabük and the variables determined according to the opinions of real estate experts. As classification methods, CHAID and C&RT algorithms have been used. It has been evaluated that both algorithm estimation results can be used. Within the framework of the study, the variables that have the most impact on the unit price have been determined, such as the size of the real estate, the distance to the city centre, the popularity, and the age of the building. The use of advanced technologies, such as statistical modelling and machine learning in real estate valuation and automatic value estimation, is of importance in determining the real value of the real estate.

Keywords: CHAID; classification; construction sector; C&RT; data mining; decision tree; real estate valuation (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/bjreecm-2018-0017 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:bjrecm:v:6:y:2018:i:1:p:220-239:n:17

DOI: 10.2478/bjreecm-2018-0017

Access Statistics for this article

Baltic Journal of Real Estate Economics and Construction Management is currently edited by Ineta Geipele

More articles in Baltic Journal of Real Estate Economics and Construction Management from Sciendo
Bibliographic data for series maintained by Peter Golla ().