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From human business to machine learning—methods for automating real estate appraisals and their practical implications

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Published in:Zeitschrift f�r Immobilien�konomie : German Journal of Real Estate Research
Format: Online Article RSS Article
Published: 2022
Subjects:
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container_title Zeitschrift f�r Immobilien�konomie : German Journal of Real Estate Research
description
discipline_display Real Estate
discipline_facet Real Estate
format Online Article
RSS Article
genre Journal Article
id rss_article:58579
institution FRELIP
journal_source_facet Zeitschrift f�r Immobilien�konomie : German Journal of Real Estate Research
publishDate 2022
publishDateSort 2022
record_format rss_article
spellingShingle From human business to machine learning—methods for automating real estate appraisals and their practical implications
Real Estate
General
Real Estate
sub_discipline_display General
sub_discipline_facet General
subject_display Real Estate
General
Real Estate
Real Estate
General
Real Estate
subject_facet Real Estate
General
Real Estate
title From human business to machine learning—methods for automating real estate appraisals and their practical implications
title_auth From human business to machine learning—methods for automating real estate appraisals and their practical implications
title_full From human business to machine learning—methods for automating real estate appraisals and their practical implications
title_fullStr From human business to machine learning—methods for automating real estate appraisals and their practical implications
title_full_unstemmed From human business to machine learning—methods for automating real estate appraisals and their practical implications
title_short From human business to machine learning—methods for automating real estate appraisals and their practical implications
title_sort from human business to machine learning—methods for automating real estate appraisals and their practical implications
topic Real Estate
General
Real Estate
url https://link.springer.com/article/10.1365/s41056-022-00063-1