Similarity Thresholding
Similarity Thresholding is a duplicate detection technique that classifies record pairs as duplicates or non-duplicates by comparing their similarity score against a predefined threshold, thereby distinguishing it from other methods through its reliance on a fixed cutoff criterion applied to a similarity metric.
26
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1.8K
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77
Authors
41
Institutions
Publications per year
2017–2026
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Efficient similarity joins for near duplicate detection
Chuan Xiao, Wei Wang, Xuemin Lin et al. · 2008 · 460 citations
Earthquake detection through computationally efficient similarity search
Clara E. Yoon, Ossian O’Reilly, Karianne J. Bergen et al. · Science Advances · 2015 · 344 citations · Full text
Dhruva R. Chakrabarti, Hans‐J. Boehm, Kumud Bhandari · 2014 · 223 citations
Mik Kersten, Gail C. Murphy · 1999 · 108 citations · Full text
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Stanford University
Stanford, United States
3 h-index
13 publications
1.5K citations
Google (United States)
Mountain View, United States
2 h-index
2 publications
287 citations

Rice University
Houston, United States
2 h-index
2 publications
287 citations
Hewlett-Packard (United States)
Palo Alto, United States
2 h-index
2 publications
287 citations

University of British Columbia
Vancouver, Canada
2 h-index
4 publications
244 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
1 h-index
4 publications
104 citations
Ministry of Education of the People's Republic of China
Beijing, China
1 h-index
1 publications
26 citations
Nanjing University
Nanjing, China
1 h-index
1 publications
26 citations
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2 publications · 78 citations
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GJI · 1 publications · 45 citations
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Repository · 1 publications · 21 citations
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1 publications · 12 citations
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1 publications · 21 citations
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