Data Mines in Real Estate Web Pages: Investigation of Changes in the Czech Real Estate Market Based on Elasticity and on Modified Price Volume Indicator
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F21%3A39918512" target="_blank" >RIV/00216275:25530/21:39918512 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-87869-6_15" target="_blank" >http://dx.doi.org/10.1007/978-3-030-87869-6_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-87869-6_15" target="_blank" >10.1007/978-3-030-87869-6_15</a>
Alternative languages
Result language
angličtina
Original language name
Data Mines in Real Estate Web Pages: Investigation of Changes in the Czech Real Estate Market Based on Elasticity and on Modified Price Volume Indicator
Original language description
A vast number of advertisements on the websites of real estate companies form deep unexplored data mines. Real estate data can be obtained daily by parsing such websites automatically. Specifically, data on the area of apartments and its price are commonly available. Thus, the real estate market could be inspected in each municipality of the Czech Republic. We have developed our own software tool for obtaining this data; it collected data during the period between June 2019 and March 2021. In addition to the price, we also monitored the number of advertisements in each municipality daily. The aim of this study is to propose a methodology for comparing the development of the real estate market in different districts. The comparison of regions is based on cluster analysis. In our study, each region was represented by 29 monthly averages of the number of advertisements and 29 monthly averages of average apartment prices per 1 m(2). However, we performed clustering on derived variables: the monthly value of elasticity and a modified price-volume indicator. The obtained clusters are graphically represented. In addition, the structure of market changes over time is economically interpreted.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
16TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2021)
ISBN
978-3-030-87869-6
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
10
Pages from-to
155-164
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
CHAM
Event location
Bilbao
Event date
Sep 22, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000719656700015