Demo Data from EDBT 2026 / reviewers in the wild / expert
Johannes Grabmeier
dblp:59/1262
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2002
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2Databases, data management, data science and information retrieval · 1 · 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 |
Coding theory · 91% Algorithms and data structures · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes
decoding |
0.0 | 1 | 1993 | Applying Coding Theory to Sparse Interpolation · SIAM J. Comput. 1993 |
Coding theory › error-correcting codes
reed-muller codes |
0.0 | 1 | 1993 | Applying Coding Theory to Sparse Interpolation · SIAM J. Comput. 1993 |
Coding theory › error-correcting codes
reed-solomon codes |
0.0 | 1 | 1993 | Applying Coding Theory to Sparse Interpolation · SIAM J. Comput. 1993 |
Algorithms and data structures › symbolic computation
sparse interpolation |
0.0 | 1 | 1993 | Applying Coding Theory to Sparse Interpolation · SIAM J. Comput. 1993 |
Methods — techniques the papers use, named apart from their topics
evaluation point construction · 0.0character sums · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | Techniques of Cluster Algorithms in Data Mining
Johannes Grabmeier, Andreas Rudolph |
Data Min. Knowl. Discov. | 1 |
| 1993 | Applying Coding Theory to Sparse InterpolationabstractFast interpolation algorithms are presented for sparse sums of characters on the product monoid $U^n $ with values in a field K in two special cases. In the first case, U is a finite cyclic group of order e, and K is a field that contains a root of unity of order e. Here linear codes over ${\mathbb{Z} / {e\mathbb{Z}}}$ can be used to construct sets of evaluation points that allow efficient interpolation by decoding Reed–Solomon codes. In the second case, K is the binary field $GF(2)$, and U is the multiplicative monoid of $GF(2)$. Here sparse sums of characters coincide with sparse Boolean polynomials and can be interpolated using the smallest set of evaluation points by decoding Reed–Muller codes. Arne Dür, Johannes Grabmeier |
SIAM J. Comput. | 2 |
| 1991 | On Zero-Testing and Interpolation of k-Sparse Multivariate Polynomials Over Finite Fields
Michael Clausen, Andreas Dress, Johannes Grabmeier, Marek Karpinski |
Theor. Comput. Sci. | 3 |