Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach
J.-P. Kucklick, J. Müller, D. Beverungen, O. Müller, in: European Conference on Information Systems, 2021.
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| English
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Proceedings Title
European Conference on Information Systems
Conference
ECIS 2021 - 29th European Conference on Information System
Conference Location
Virtual
Conference Date
2021-06-14 – 2021-06-16
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Cite this
Kucklick J-P, Müller J, Beverungen D, Müller O. Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach. In: European Conference on Information Systems. ; 2021.
Kucklick, J.-P., Müller, J., Beverungen, D., & Müller, O. (2021). Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach. In European Conference on Information Systems. Virtual.
@inproceedings{Kucklick_Müller_Beverungen_Müller_2021, title={Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach}, booktitle={European Conference on Information Systems}, author={Kucklick, Jan-Peter and Müller, Jennifer and Beverungen, Daniel and Müller, Oliver}, year={2021} }
Kucklick, Jan-Peter, Jennifer Müller, Daniel Beverungen, and Oliver Müller. “Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-Based Deep Learning Approach.” In European Conference on Information Systems, 2021.
J.-P. Kucklick, J. Müller, D. Beverungen, and O. Müller, “Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-based Deep Learning Approach,” in European Conference on Information Systems, Virtual, 2021.
Kucklick, Jan-Peter, et al. “Quantifying the Impact of Location Data for Real Estate Appraisal – A GIS-Based Deep Learning Approach.” European Conference on Information Systems, 2021.
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