Duplicate File Detection
Duplicate File Detection is a computational process that identifies redundant copies of files within a dataset by comparing their content or metadata to distinguish exact or near-identical instances for the purpose of data deduplication.
36
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3.2K
Citations
111
Authors
44
Institutions
Publications per year
2017–2026
6
Parents
36
Finding similar files in a large file system
Udi Manber · 1994 · 589 citations
Copy detection mechanisms for digital documents
Sergey Brin, James Davis, Héctor García-Molina · 1995 · 475 citations · Full text
Andrew Tridgell, Paul Mackerras · ANU Open Research (Australian National University) · 1996 · 312 citations · Full text
A Comprehensive Study of the Past, Present, and Future of Data Deduplication
Wen Xia, Hong Jiang, Dan Feng et al. · Proceedings of the IEEE · 2016 · 308 citations
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Stanford University
Stanford, United States
3 h-index
9 publications
1.8K citations
University of Southern California
Los Angeles, United States
2 h-index
4 publications
60 citations
Darmstadt University of Applied Sciences
Darmstadt, Germany
2 h-index
7 publications
308 citations
The University of Texas at Arlington
Arlington, United States
2 h-index
2 publications
325 citations
University of Arizona
Tucson, United States
2 h-index
2 publications
662 citations

Universidade Federal do Amazonas
Manaus, Brazil
2 h-index
2 publications
117 citations
Microsoft (United States)
Redmond, United States
2 h-index
6 publications
319 citations
National Institute of Standards and Technology
Gaithersburg, United States
2 h-index
2 publications
81 citations
1–8 of 44
5 publications · 616 citations
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Repository · 2 publications · 44 citations
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1 publications · 31 citations
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1 publications · 47 citations
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1 publications · 308 citations
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