Manual Data Classification
Manual Data Classification is a data classification method in which individuals manually assign data to predefined categories based on content, context, and organizational policies, distinguishing it from automated or system-driven classification approaches through its reliance on human judgment and explicit decision-making.
136
Publications
5K
Citations
558
Authors
233
Institutions
Publications per year
2017–2026
74
Parents
136
Quantitive evaluation of Web site content and structure
Christian Bauer, Arno Scharl · Internet Research · 2000 · 210 citations
What do large commits tell us?
Abram Hindle, Daniel M. Germán, Ric Holt · 2008 · 208 citations
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233

University of British Columbia
Vancouver, Canada
3 h-index
8 publications
332 citations
The Ohio State University
Columbus, United States
3 h-index
4 publications
53 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
10 publications
130 citations

Beijing University of Chemical Technology
Beijing, China
3 h-index
8 publications
308 citations
Guangdong Academy of Sciences
Guangzhou, China
2 h-index
7 publications
293 citations
University of Kentucky
Lexington, United States
2 h-index
11 publications
863 citations
University College London
London, United Kingdom
2 h-index
4 publications
94 citations

Universiti Sains Malaysia
George Town, Malaysia
2 h-index
5 publications
64 citations
1–8 of 233
3 publications · 96 citations
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3 publications · 66 citations
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2 publications · 72 citations
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Repository · 2 publications · 70 citations
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TRR · 2 publications · 36 citations
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