Demo Data from EDBT 2026 / reviewers in the wild / expert
Pradip Kanjamala
dblp:18/1679
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 1
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 · 56% Spatial and temporal data management · 44% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data models and query languages
constraint databases |
0.0 | 1 | 2000 | The MLPQ/GIS Constraint Database System · SIGMOD Conference 2000 |
Spatial and temporal data management
spatio-temporal query processing |
0.0 | 1 | 2000 | The MLPQ/GIS Constraint Database System · SIGMOD Conference 2000 |
Methods — techniques the papers use, named apart from their topics
icon-based query interface · 0.0constraint database system · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Common Terminology Services 2 (CTS2) for Biomedical Community
Cui Tao, Harold R. Solbrig, Pradip Kanjamala, Kevin J. Peterson, Craig Stancle, Christopher G. Chute |
AMIA | 3 |
| 2000 | The MLPQ/GIS Constraint Database SystemabstractMLPQ/GIS [4,6] is a constraint database [5] system like CCUBE [1] and DEDALE [3] but with a special emphases on spatio-temporal data. Features include data entry tools (first four icons in Fig. 1), icon-based queries such as @@@@ Intersection, @@@@ Union, @@@@ Area, @@@@ Buffer, @@@@ Max and @@@@ Min, which optimize linear objective functions, and @@@@ for Datalog queries. For example, in Fig. 1 we loaded and displayed a constraint database that represents the midwest United States and loaded two contraint relations describing the movements of two persons. The query icon opened a dialog box into which we entered the query which finds (t, i) pairs such that the two people are in the same state i at the same time t. Peter Z. Revesz, Pradip Kanjamala, Yuguo Liu |
SIGMOD Conference | 3 |