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Conference Paper “Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach” presented at ECIS 2021

The conference paper “Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach” (by Jan-Peter Kucklick, Jennifer Müller, Daniel Beverungen and Oliver Müller from Chair of Data Analytics and Business Information Systems) is presented at the European Conference on Information Systems (ECIS) 2021, held between the 14th and 16th of June, 2021. The paper focuses on comparing data from geographic information systems (GIS) and exterior images to quantify their value for real estate appraisal.

The paper is available here: http://bit.ly/location-data

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Oliver Müller

Prof. Dr. Oliver Müller

Wirtschaftsinformatik, insb. Data Analytics

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Daniel Beverungen

Prof. Dr. Daniel Beverungen

Wirtschaftsinformatik, insb. Betriebliche Informationssysteme

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Jan-Peter Kucklick

Jan-Peter Kucklick, M.Sc.

Wirtschaftsinformatik, insb. Data Analytics

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Jennifer Priefer

Jennifer Priefer

Wirtschaftsinformatik, insb. Betriebliche Informationssysteme

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The University for the Information Society