VLDB 2026 Research / reviewers in the wild / expert
Daniel J. Moore
dblp:47/1377
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 1981
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Approximation and online algorithms · 50% Computational complexity · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Approximation and online algorithms › approximation algorithms
polynomial-time approximation |
0.0 | 1 | 1981 | Completeness, Approximation and Density · SIAM J. Comput. 1981 |
Computational complexity
structural complexity |
0.0 | 1 | 1981 | Completeness, Approximation and Density · SIAM J. Comput. 1981 |
Methods — techniques the papers use, named apart from their topics
structural complexity theory · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1981 | Axiomatic Data Type Specifications: A First Order Theory of Linear Lists
Daniel J. Moore, Bruce Russell |
Acta Informatica | 1 |
| 1981 | Completeness, Approximation and DensityabstractPolynomial time approximations to exponential time computable problems (EXP) are considered from the point of view of structure. Infinitely often speedable and almost everywhere complex problems are studied using the notions of polynomial time productivity and immunity. In particular, the existence of a polynomial time immune set which is not polynomial time approximable at all but which is polynomial time $tt$-complete in EXP is proven. The relationship between completeness and approximability is also studied. It is shown that being polynomial time m-complete in EXP does not provide any control of the probability of erroneous approximations. Ker-I Ko, Daniel J. Moore |
SIAM J. Comput. | 2 |
| 1981 | Optimization Problems and the Polynomial Hierarchy
E. W. Leggett Jr., Daniel J. Moore |
Theor. Comput. Sci. | 2 |