Data Disambiguation
Data Disambiguation is a data transformation technique that resolves ambiguities in datasets by identifying and distinguishing between overlapping, conflicting, or indistinguishable data instances to ensure semantic clarity and uniqueness.
41
Publications
2K
Citations
134
Authors
60
Institutions
Publications per year
2017–2026
6
Parents
41
Bulk Disambiguation of Speculative Threads in Multiprocessors
Luís Ceze, James Tuck, Josep Torrellas et al. · ACM SIGARCH Computer Architecture News · 2006 · 265 citations
Bulk Disambiguation of Speculative Threads in Multiprocessors
Luís Ceze, James Tuck, Josep Torrellas et al. · 2006 · 219 citations
1–5 of 41
134
Indiana University – Purdue University Indianapolis, United States
3 publications · 73 citations
3
h-index
Indiana University – Purdue University Indianapolis, United States
3 publications · 73 citations
3
h-index
Indiana University – Purdue University Indianapolis, United States
3 publications · 73 citations
3
h-index
2
h-index
2
h-index
1–5 of 134
60
Indiana University – Purdue University Indianapolis
Indianapolis, United States
3 h-index
9 publications
219 citations
Tsinghua University
Beijing, China
2 h-index
3 publications
578 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
2 h-index
6 publications
352 citations

University of Indianapolis
Indianapolis, United States
2 h-index
4 publications
102 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
204 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
7 publications
1.7K citations
South China Normal University
Guangzhou, China
2 h-index
6 publications
106 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
7 publications
132 citations
1–8 of 60
2 publications · 137 citations
2
h-index
2 publications · 38 citations
2
h-index
1 publications · 265 citations
1
h-index
Repository · 1 publications · 40 citations
1
h-index
Conference · 1 publications · 12 citations
1
h-index
1–5