Data Model Customization
Data Model Customization is the modification of the structural schema of an enterprise system’s data model to align with specific organizational requirements, distinguishing itself from other customization types by focusing on the definition, relationships, and constraints of data entities rather than business processes or user interfaces.
13
Publications
1.4K
Citations
62
Authors
39
Institutions
Publications per year
2017–2026
6
13
Software Engineering for Machine Learning: A Case Study
Saleema Amershi, Andrew Begel, Christian Bird et al. · 2019 · 1.1K citations
Topological Recurrent Neural Network for Diffusion Prediction
Jia Wang, Vincent W. Zheng, Zemin Liu et al. · 2017 · 170 citations
Zachary A. Pardos, Kevin Kao · 2015 · 25 citations
1–5 of 13
62
2
h-index
University of Illinois Urbana-Champaign, United States
2 publications · 185 citations
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 62
39
Janssen (France)
Issy-les-Moulineaux, France
1 h-index
1 publications
11 citations

Johannes Kepler University of Linz
Linz, Austria
1 h-index
2 publications
22 citations
Université de Montréal
Montreal, Canada
1 h-index
1 publications
16 citations
Luther University
Seoul, South Korea
1 h-index
2 publications
22 citations
Universidad Complutense de Madrid
Madrid, Spain
1 h-index
1 publications
11 citations
Microsoft (United States)
Redmond, United States
1 h-index
8 publications
8.5K citations
Max Planck Society
Munich, Germany
1 h-index
3 publications
33 citations
Université Toulouse - Jean Jaurès
Toulouse, France
1 h-index
1 publications
12 citations
1–8 of 39
Repository · 2 publications · 27 citations
2
h-index
1 publications · 13 citations
1
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Conference · 1 publications · 11 citations
1
h-index
DTRAP · 1 publications · 17 citations
1
h-index
PVLDB · 1 publications · 67 citations
1
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1–5