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

 |  AllgemeinesForschung - Research

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

Kontakt

business-card image

Prof. Dr. Daniel Beverungen

Wirtschaftsinformatik, insb. Betriebliche Informationssysteme

Universitätsprofessor, Lehrstuhlinhaber

E-Mail schreiben +49 5251 60-5600
business-card image

Dr. Jan-Peter Kucklick

Wirtschaftsinformatik, insb. Data Analytics

business-card image

Jennifer Priefer

Wirtschaftsinformatik, insb. Betriebliche Informationssysteme

E-Mail schreiben +49 5251 60-4515