Demo Data from EDBT 2026 / reviewers in the wild / expert
Stan Danforth
dblp:32/2784
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1992
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, 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.
| Databases, data mining, and information retrieval
1 paper |
Data models and query languages · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data models and query languages
database programming language |
0.0 | 1 | 1992 | A FAD for Data Intensive Applications · IEEE Trans. Knowl. Data Eng. 1992 |
Parallel and multicore computing › parallel computing
parallel database systems |
0.0 | 1 | 1992 | A FAD for Data Intensive Applications · IEEE Trans. Knowl. Data Eng. 1992 |
Methods — techniques the papers use, named apart from their topics
type system design · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | A FAD for Data Intensive ApplicationsabstractFAD is a strongly typed database programming language designed for uniformly manipulating transient and persistent data on Bubba, a parallel database system developed at MCC. The paper provides an overall description of FAD, and discusses the design rationale behind a number of its distinguishing features. Comparisons with other database programming languages are provided.> Stan Danforth, Patrick Valduriez |
IEEE Trans. Knowl. Data Eng. | 1 |