Sökning: "automated valuation models"

Hittade 4 uppsatser innehållade orden automated valuation models.

  1. 1. Hur påverkas värderares objektivitet vid användning av artificiell intelligens under fastighetsvärderingsprocessen för kommersiella fastigheter?

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Författare :Adam Norrman; Daniel Sandgren; [2022]
    Nyckelord :: Property valuation; commercial real estate; artificial intelligence; automated valuation models; Fastighetsvärdering; kommersiella fastigheter; artificiell intelligens; automatiserade värderingsmodeller; tillförlitlighet; objektivitet;

    Sammanfattning : The essay deals with what previous research exists within real estate valuation with artificial intelligence as well as the traditional real estate valuation process. Furthermore, it explains how the traditional property valuation process works and then further research on property valuation with artificial intelligence. LÄS MER

  3. 2. Comparison of different machine learning methods’ capability to predict housing prices

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Johan Ekberg; Ludwig Johansson; [2022]
    Nyckelord :;

    Sammanfattning : Accurate evaluations in the real estate market are valuable for many different parties, including lenders, agents, and buyers. Achieving an accurate evaluation today is challenging, even with good knowledge of the market. LÄS MER

  4. 3. An Ensemble Machine Learning Approach to Estimating Swiss Home Prices

    D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomi

    Författare :Andreas Thuerlimann; [2018]
    Nyckelord :Machine Learning; Hedonic Pricing Model; Real Estate; Stacked Generalization;

    Sammanfattning : The price of a home is usually estimated by professional appraisers or by automated home valuation models, also known a hedonic pricing models. In the past, these models were largely based on linear regression models, however there is a trend towards using machine learning algorithms to estimate home prices. LÄS MER

  5. 4. Quantifying terrain factor using GIS applications for real estate property valuation

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Dahlia Mudzaffar Ali; [2016]
    Nyckelord :digital elevation model DEM ; GIS; geography; physical geography; property valuation; Earth and Environmental Sciences;

    Sammanfattning : This thesis studies the use of GIS applications to derive adjustment figures for the terrain factor in property valuation tasks. It aims at suggesting a quantitative approach alternative to evaluate the terrain factor as opposed to traditional methods and current industry practices where terrain is qualitatively judged based on visual observation at site and subjected to individual opinion. LÄS MER