Demo Data from EDBT 2026 / reviewers in the wild / expert
Steven R. Waterhouse
dblp:72/636
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Databases, data management, data science and information retrieval · 2
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational finance and economics · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational finance and economics
financial market analysis |
0.0 | 1 | 1998 | Discovering Technical Traders in the T-bond Futures Market · KDD 1998 |
Methods — techniques the papers use, named apart from their topics
data mining · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Analysing Rock Samples for the Mars Lander
Jonathan Oliver, Ted Roush, Paul Gazis, Wray L. Buntine, Rohan A. Baxter, Steven R. Waterhouse |
KDD | 6 |
| 1998 | Discovering Technical Traders in the T-bond Futures Market
Andreas S. Weigend, Stephen Figlewski, Steven R. Waterhouse |
KDD | 4 |