Demo Data from EDBT 2026 / reviewers in the wild / expert
Jay-Louise Weldon
dblp:70/2705
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 1980
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Database system architecture and tuning · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Database system architecture and tuning › database design
physical database design |
0.0 | 1 | 1975 | Implementation Strategies for the Census Data Base · VLDB 1975 |
Storage systems › data compression
database compression |
0.0 | 1 | 1975 | Implementation Strategies for the Census Data Base · VLDB 1975 |
Storage systems
data compression |
0.0 | 1 | 1975 | Implementation Strategies for the Census Data Base · VLDB 1975 |
Database system architecture and tuning
very large databases |
0.0 | 1 | 1975 | Implementation Strategies for the Census Data Base · VLDB 1975 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1980 | Using Data Base Abstractions for Logical DesignabstractA methodology using data base abstractions for logical data base design has been proposed. This paper describes the application of that approach to a data base design problem, and evaluates the methodology with respect to three criteria: ease of use, completeness, and correctness. Jay-Louise Weldon |
Comput. J. | 1 |
| 1975 | Implementation Strategies for the Census Data BaseabstractThe decisions which must be made during the implementation of a very large data base may be classified into three major categories: decisions related to data base organization, those concerning the selection and use of data storage devices, and those related to data compression. The logical organization of the data base must be determined to suit data base users and a corresponding physical organization must be selected to implement that logical organization in an efficient manner. The type and number (size) of storage devices to be used must be determined. The nature of these devices and whether the storage bank will be homogeneous or consist of a mix of device types must also be determined, Finally, the feasibility of data compression must be investigated. If desirable, an efficient method must be selected and the extent of its application determined. Jay-Louise Weldon |
VLDB | 1 |
| 1974 | Probability distributions and search schemes
Aaron Tenenbein, Jay-Louise Weldon |
Inf. Storage Retr. | 2 |