Examination of the Factors Affecting Household Rental Housing Demand Through Data Mining

Year 2018, , 227 - 238, 15.08.2018

Kübra Önder , Hüseyin Turgut

https://doi.org/10.17153/oguiibf.417717

Cited By: 3

Abstract

Houses are an irreplaceable
tool for the need for shelter However, as a result of the global economic,
cultural and technological changes encountered in recent years they have become
a source of assurance for the future and one of the most significant indicators
of life-style and wealth and social prestige as well as meeting the basic need
for shelter.  This causes house to become
a heterogeneous good and to involve many characteristics.  The effectiveness level of different characteristics
of the house on the market value of the house is predicted using hedonic
pricing model based on micro-economic theory. The aim of the study is to
analyze the factors affecting rental housing demand of households through data
mining methods. 2341 household data has been referenced and 49 data title was
selected as the basis ofthe study in which Household Budget Survey data of 2015
has been used. As a result of the study, it has been determined that Decision
Tree algorithm which is one of the Data Mining methods yielded the best result.

Keywords

Housing Market, Hedonic Pricing, Data Mining

Hanehalkının Konut Kira Talebine Etki Eden Faktörlerin Veri Madenciliği ile İncelenmesi

Abstract

Konut, barınma açısından
vazgeçilmez bir araç olmasına rağmen son yıllarda dünyada yaşanan ekonomik,
kültürel ve teknolojik değişimlerin bir sonucu olarak konut, barınma temel
ihtiyacını karşılama amacı dışında, gelecek için güvence kaynağı, yaşam tarzı
ve zenginliğin en önemli göstergelerinden biri olmakla kalmamış toplum içindeki
saygınlığın da ifadesi olmuştur. Bu durum konutun heterojen bir mal olmasına ve
birçok özelliği içinde barındırmasına neden olmaktadır. Konutun sahip olduğu
farklı özellikleri konutun piyasa değeri üzerinde ne derece etkin olduğu mikro
iktisat teorisine dayalı hedonik fiyat modeli ile tahmin edilmektedir. Çalışmanın
amacı, hanehalkının kiralık konut talebini etkileyen faktörleri Veri
Madenciliği süreç ile analiz etmektir. 2015 yılı Hanehalkı Bütçe Anket
verilerinin kullanıldığı çalışmada, 2341 hane verisi çalışmaya kaynaklık etmiş
ve 49 farklı veri başlığı temel alınmıştır. Çalışma sonucunda, Veri Madenciliği
yöntemlerinden Karar Ağacı Algoritmasının en iyi sonuç verdiği tespit
edilmiştir.

Keywords

Konut Piyasası, Hedonik Fiyatlama, Veri Madenciliği, Karar Ağaçları Yöntemi.

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