Data Generalization
Data Generalization is a data transformation technique that abstracts detailed data values into higher-level, more generalized forms by suppressing or aggregating specific attributes, thereby enabling broader categorization while preserving the essential structure and semantics for analytical or computational purposes.
156
Publications
9.6K
Citations
537
Authors
208
Institutions
Publications per year
2017–2026
66
156
The Need for Biases in Learning Generalizations
Tom M. Mitchell · BMC Nursing · 2007 · 530 citations · Full text
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai, Jinqi Luo, Jun Zhao et al. · 2021 · 438 citations · Full text
Can face anti-spoofing countermeasures work in a real world scenario?
Tiago de Freitas Pereira, André Anjos, José Mario De Martino et al. · 2013 · 289 citations · Full text
1–5 of 156
537
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 537
208
Wuhan University
Wuhan, China
5 h-index
7 publications
547 citations
Allen Institute
Seattle, United States
5 h-index
11 publications
726 citations
University of Washington
Seattle, United States
5 h-index
9 publications
498 citations

Huazhong University of Science and Technology
Wuhan, China
5 h-index
16 publications
785 citations
Google (United States)
Mountain View, United States
5 h-index
46 publications
8.1K citations

Peking University
Beijing, China
5 h-index
5 publications
133 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
4 publications
172 citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
3 h-index
3 publications
181 citations
1–8 of 208
Repository · 22 publications · 1.3K citations
18
h-index
4 publications · 130 citations
4
h-index
Conference · 4 publications · 137 citations
4
h-index
3 publications · 61 citations
3
h-index
2 publications · 65 citations
2
h-index
1–5