Data Binning
Data Binning is a data preprocessing technique that partitions continuous or discrete data values into a finite set of contiguous intervals or categories, known as bins, to reduce noise, enhance interpretation, and facilitate subsequent analysis.
129
Publications
12.1K
Citations
383
Authors
204
Institutions
Publications per year
2017–2026
41
Variants
Data Bucketing
Parents
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204
Stanford University
Stanford, United States
4 h-index
9 publications
635 citations

Rice University
Houston, United States
3 h-index
3 publications
2K citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
5 publications
241 citations
University of California, Santa Barbara
Santa Barbara, United States
3 h-index
4 publications
215 citations
Princeton University
Princeton, United States
3 h-index
5 publications
246 citations
University College London
London, United Kingdom
3 h-index
7 publications
153 citations
Freie Universität Berlin
Berlin, Germany
2 h-index
3 publications
48 citations
The Ohio State University
Columbus, United States
2 h-index
5 publications
257 citations
1–8 of 204
Repository · 3 publications · 188 citations
3
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3 publications · 291 citations
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Repository · 3 publications · 159 citations
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3 publications · 55 citations
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2 publications · 174 citations
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