Demo Data from EDBT 2026 / reviewers in the wild / expert
Chuen-Sing Yeung
dblp:72/1011
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, 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.
| Databases, data mining, and information retrieval
1 paper |
Data models and query languages · 62% Spatial and temporal data management · 38% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data models and query languages
temporal data model |
0.0 | 1 | 1988 | A Generalized Model for a Relational Temporal Database · SIGMOD Conference 1988 |
Spatial and temporal data management
temporal databases |
0.0 | 1 | 1988 | A Generalized Model for a Relational Temporal Database · SIGMOD Conference 1988 |
Spatial and temporal data management › temporal databases
transaction time |
0.0 | 1 | 1988 | A Generalized Model for a Relational Temporal Database · SIGMOD Conference 1988 |
Methods — techniques the papers use, named apart from their topics
boolean algebra · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | Inadequacy of interval timestamps in temporal databases
Shashi K. Gadia, Chuen-Sing Yeung |
Inf. Sci. | 2 |
| 1988 | A Generalized Model for a Relational Temporal DatabaseabstractWe propose a generalized relational model for a temporal database which allows time stamping with respect to a Boolean algebra of multidimensional time stamps. The interplay between the various temporal dimensions is symmetric. As an application, a two dimensional model which allows objects with real world and transaction oriented time stamps is discussed. The two dimensional model can be used to query the past states of the database. It can also be used to give a precise classification of the errors and updates in a database, and is a promising approach for querying these errors and updates. Shashi K. Gadia, Chuen-Sing Yeung |
SIGMOD Conference | 2 |