Using Web Mining in the Analysis of Housing Prices: A Case study of Tehran

@article{Annamoradnejad2019UsingWM,
  title={Using Web Mining in the Analysis of Housing Prices: A Case study of Tehran},
  author={R. Annamoradnejad and Issa Annamoradnejad and T. Safarrad and J. Habibi},
  journal={2019 5th International Conference on Web Research (ICWR)},
  year={2019},
  pages={55-60}
}
  • R. Annamoradnejad, Issa Annamoradnejad, +1 author J. Habibi
  • Published 2019
  • Business
  • 2019 5th International Conference on Web Research (ICWR)
  • There have been many previous works to determine the determinants of housing prices. All of these works relied on a relatively small set of data, mostly collected with the help of real estate agencies. In this work, we used web mining methods to generate a big, organized dataset from a popular national brokerage website. The dataset contains structural characteristics of more than 139,000 apartments, alongside their location and price. We provided our full dataset for the article, so that other… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 29 REFERENCES
    Determinants of Office Rents in the Istanbul Metropolitan Area
    • 15
    • Highly Influential
    Urban configuration, accessibility, and property prices: a case study of Cardiff, Wales
    • 32
    • PDF
    Analysis of housing price by means of STAR models with neighbourhood effects: a Bayesian approach
    • 11
    Data collection methods on the Web for infometric purposes — A review and analysis
    • 127
    Understanding China ’ s Urban Pollution Dynamics
    • 76
    • PDF
    Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition
    • 8,715
    • PDF
    Reprint of: The anatomy of a large-scale hypertextual web search engine
    • 640
    • PDF