Data Dependency Mapping
Data Dependency Mapping is a methodological framework within the field of data engineering that systematically identifies, classifies, and visualizes the causal, structural, and temporal relationships among data elements across systems, processes, or applications to ensure consistency, traceability, and informed decision-making in data-intensive environments.
78
Publications
2.2K
Citations
259
Authors
93
Institutions
Publications per year
2017–2026
13
Parents
78
A data mining approach for database intrusion detection
Yi Hu, Brajendra Panda · 2004 · 149 citations
Pengfei Li, Yu Hua, Jingnan Jia et al. · Proceedings of the VLDB Endowment · 2021 · 84 citations
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93

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
4 h-index
14 publications
514 citations

University of Waterloo
Waterloo, Canada
3 h-index
9 publications
120 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
13 publications
242 citations
National Tsing Hua University
Hsinchu, Taiwan
3 h-index
10 publications
238 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
5 publications
72 citations
George Washington University
Washington, United States
2 h-index
5 publications
60 citations

University of Arkansas at Fayetteville
Fayetteville, United States
2 h-index
3 publications
318 citations
University of North Dakota
Grand Forks, United States
2 h-index
3 publications
62 citations
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2 publications · 86 citations
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2 publications · 33 citations
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JSS · 2 publications · 36 citations
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1 publications · 47 citations
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TOG · 1 publications · 20 citations
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