Set Pruning
Set Pruning is a methodological process within Set-Based Design that systematically eliminates infeasible or suboptimal design alternatives from a feasible set of solutions based on evolving criteria, performance constraints, or empirical data to converge toward superior design outcomes.
10
Publications
577
Citations
27
Authors
11
Institutions
Publications per year
2017–2026
1
Parents
10
ATPG aspects of FSM verification
H. Cho, Gary D. Hachtel, Seh-Woong Jeong et al. · 2002 · 123 citations
An efficient partition based method for exact set similarity joins
Dong Deng, Guoliang Li, He Wen et al. · Proceedings of the VLDB Endowment · 2015 · 79 citations
1–5 of 10
27
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 27
11

University of Basel
Basel, Switzerland
2 h-index
4 publications
142 citations
Tsinghua University
Beijing, China
1 h-index
4 publications
316 citations
University of Colorado Boulder
Boulder, United States
1 h-index
6 publications
738 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
2 publications
40 citations

University of Freiburg
Freiburg im Breisgau, Germany
1 h-index
2 publications
52 citations
University of Delaware
Newark, United States
1 h-index
1 publications
231 citations
Jiangsu University
Zhenjiang, China
1 h-index
1 publications
11 citations

University of Warsaw
Warsaw, Poland
1 h-index
2 publications
26 citations
1–8 of 11
3 publications · 83 citations
3
h-index
PVLDB · 2 publications · 99 citations
2
h-index
1 publications · 13 citations
1
h-index
1 publications · 11 citations
1
h-index
1 publications · 231 citations
1
h-index
1–5