VLDB 2026 Research / reviewers in the wild / expert
Diane Greene
dblp:35/3984
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1989
—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 |
Indexing and storage engines · 67% Spatial and temporal data management · 33% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Indexing and storage engines › multidimensional indexing
k-d-b-tree |
0.0 | 1 | 1989 | An Implementation and Performance Analysis of Spatial Data Access Methods · ICDE 1989 |
Indexing and storage engines › spatial index
r-tree |
0.0 | 1 | 1989 | An Implementation and Performance Analysis of Spatial Data Access Methods · ICDE 1989 |
Spatial and temporal data management
spatial indexing |
0.0 | 1 | 1989 | An Implementation and Performance Analysis of Spatial Data Access Methods · ICDE 1989 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | An Implementation and Performance Analysis of Spatial Data Access MethodsabstractFour spatial data access methods, R-trees, K-D-B-trees, R+trees, and 2-D-Isam, have been implemented within a preliminary version of the POSTGRES DBMS (database management system). These access methods have been tested over a range of shapes and sizes of two-dimensional objects and for a range of logical page sizes. The CPU time, number of disk reads and writes, and the resulting tree sizes have been tabulated for insert and retrieve operations. It is concluded that R-trees provide the best tradeoff between performance and implementation complexity and that choice of implementation is crucial to the performance of all the methods investigated.> Diane Greene |
ICDE | 1 |