Real Estate Valuation Using Data Mining Software

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F16%3A00305549" target="_blank" >RIV/68407700:21110/16:00305549 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.proeng.2016.11.621" target="_blank" >http://dx.doi.org/10.1016/j.proeng.2016.11.621</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.proeng.2016.11.621" target="_blank" >10.1016/j.proeng.2016.11.621</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Real Estate Valuation Using Data Mining Software

Popis výsledku v původním jazyce

This paper presents an innovative method for real estate valuation. The most common method of real estate valuation relies on comparisons with similar structures, cost and yield analysis. The innovative method proposed in this paper, called "historical market price", uses mathematics, statistical and database-founded algorithms for valuation. Input data comes from specialized software which systematically gathers, analyses and valuates data connected with real estate market development. Every six months the database expands by more than 650,000 price offers (advertisements) on purchase or rent of flats, houses, commercial buildings and allotments. This method can be used for valuation of real estate which was purchased previously if rough data is known about the original transaction (especially purchase price). The method suggested in this paper is grounded in true and exact information taken from the last purchase. It also identifies structural and technical differences in the condition of given real estate, as well as changes in price levels for the given location (street, neighborhood, city, region, etc.). Current valuation methods are not capable of taking into account these historical, yet exact and valuable pieces of information concerning real estate. Current valuation methods are based solely on current data and present state of the real estate market. This approach may be vulnerable to manipulation by either party of the purchase contract.

Název v anglickém jazyce

Real Estate Valuation Using Data Mining Software

Popis výsledku anglicky

This paper presents an innovative method for real estate valuation. The most common method of real estate valuation relies on comparisons with similar structures, cost and yield analysis. The innovative method proposed in this paper, called "historical market price", uses mathematics, statistical and database-founded algorithms for valuation. Input data comes from specialized software which systematically gathers, analyses and valuates data connected with real estate market development. Every six months the database expands by more than 650,000 price offers (advertisements) on purchase or rent of flats, houses, commercial buildings and allotments. This method can be used for valuation of real estate which was purchased previously if rough data is known about the original transaction (especially purchase price). The method suggested in this paper is grounded in true and exact information taken from the last purchase. It also identifies structural and technical differences in the condition of given real estate, as well as changes in price levels for the given location (street, neighborhood, city, region, etc.). Current valuation methods are not capable of taking into account these historical, yet exact and valuable pieces of information concerning real estate. Current valuation methods are based solely on current data and present state of the real estate market. This approach may be vulnerable to manipulation by either party of the purchase contract.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JN - Stavebnictví

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Procedia Engineering

ISSN

1877-7058

e-ISSN

—

Svazek periodika

2016

Číslo periodika v rámci svazku

164

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

8

Strana od-do

284-291

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85006968022