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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

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16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) (SOCO 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1401))

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Abstract

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 m2. 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.

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Acknowledgement

This contribution has been supported by institutional support of the University of Pardubice, Czech Republic.

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Authors and Affiliations

  1. University of Pardubice, Studentská 95, 532 10, Pardubice, Czech Republic

    Alena Pozdílková & Jaroslav Marek

Authors
  1. Alena Pozdílková
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  2. Jaroslav Marek
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Corresponding author

Correspondence to Alena Pozdílková .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Hugo Sanjurjo González

  2. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Iker Pastor López

  3. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Pablo García Bringas

  4. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    Héctor Quintián

  5. BISITE Research Group, University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Pozdílková, A., Marek, J. (2022). 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. In: Sanjurjo González, H., Pastor López, I., García Bringas, P., Quintián, H., Corchado, E. (eds) 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021). SOCO 2021. Advances in Intelligent Systems and Computing, vol 1401. Springer, Cham. https://doi.org/10.1007/978-3-030-87869-6_15

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