scholarly journals Research on Factors Affecting Real Estate Values by Data Mining

Author(s):  
Filiz Ersoz ◽  
Taner Ersoz ◽  
Muhammet Soydan

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.

2020 ◽  
Vol 12 (6) ◽  
pp. 2206
Author(s):  
Kee Han Kim ◽  
Sang-Sub Jeon ◽  
Amina Irakoze ◽  
Ki-young Son

Recently, the importance of green building certification in consideration of environmentally friendly factors is being emphasized more when constructing buildings in South Korea. The Green Standard for Energy and Environmental Design (G-SEED) is one of the strategies used by the Korean government to effectively reduce building environmental loads. However, due to the large investment needed to acquire green building certification, building owners, stakeholders, and designers often contemplate how to balance G-SEED certification benefits and the additional costs they involve. Therefore, the purpose of this study was to assess the benefits of G-SEED certification in terms of post-occupancy financial advantages through a comparative analysis of real estate prices of apartments in the Yeongnam area. All of the major factors affecting apartment real estate prices in South Korea were considered, and the real estate price difference between G-SEED certified and non-certified apartments was determined through a one-sample t-test. The results demonstrated that G-SEED certified apartment real estate prices were 9.52% higher than non-certified apartments. This study concluded that G-SEED certification–related investment is worth the additional cost as it increases the real estate value of a building.


2018 ◽  
Vol 938 (8) ◽  
pp. 44-52 ◽  
Author(s):  
I.A. Anikeeva ◽  
N.M. Babashkin ◽  
S.A. Kadnichanskiy ◽  
S.S. Nekhin

The analysis of the capabilities and effectiveness of the aerial survey using a drone for determining the coordinate points of the real estate objects’ boundaries with photogrammetric method in doing cadastral works basing on established requirements is given. The matters of coordinates’ definition accuracy are considered basing on the results of research trials of hardware and software systems of digital aerial photography and photogrammetric processing based on using drones and the aerial photos of the polygon. The results of a comparative analysis of the aerial survey effectiveness using drones of various types and traditional aerial survey with manned aircraft are given. The factors affecting the efficiency are analyzed. Issues of creating the legislation base for aerial survey with drones are discussed. The conclusion is made about possibility of aerial survey using unmanned aircraft to determine the coordinates of the real estate objects’ boundaries with precision meeting the established requirements. Planning aerial surveys with drones for cadastral tasks should be primarily based on economic factors (time and cost), taking into account the specific conditions of the subject and used hardware and software.


Valuation profession is a link between the borrower and the lender. Fraud is an intentional deliberate deception committed for illegitimate personal gain. There are several forms of real estate fraud, especially when the real estate market is facing a boom. The most widespread types of real estate fraud include the preparation of two sets of settlement statements, property flipping, and fraudulent qualifications. There are mainly three types of valuation to look out for. Valuation may be received from an unauthorized agency. Furthermore, a real valuation may be altered from the original to generate profit. Thirdly, intentional inflation of the value of a property will hide the real market value. It is usually difficult to spot real estate fraudulent activities, so deep investigations and professionalism is needed. This chapter explores real estate fraud.


2013 ◽  
Vol 859 ◽  
pp. 562-565 ◽  
Author(s):  
Jian Ping Yang ◽  
Qing Bai

With the continuous development of the real estate industry, the real estate valuation business volume increasing coverage, valuation of more extensive, therefore it has become increasingly difficult. This article mainly from the characteristics of the real estate valuation and the existing problems, study of the geographic information system (GIS) is applied to real estate evaluation system of the necessity and feasibility, and puts forward the main function of the GIS system of real estate appraisal module.


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