Demo Data from VLDB 2026 / reviewers in the wild / expert
N. R. Ong
dblp:163/3931
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
—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 |
Query processing and optimization · 100% | |
| Network and information security
1 paper |
Privacy and data protection · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Query processing and optimization
query optimization |
0.2 | 1 | 2015 | Interactive preference-aware query optimization · ICDE 2015 |
Query processing and optimization › parallel query processing
distributed query plan |
0.1 | 1 | 2015 | Interactive preference-aware query optimization · ICDE 2015 |
Methods — techniques the papers use, named apart from their topics
GUI-based interactive optimization · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Interactive preference-aware query optimizationabstractPASQL is an extension to SQL that allows users of a distributed database to specify privacy constraints on an SQL query evaluation plan. However, privacy constraints can be difficult for users to specify, and worse yet, all possible situations that could lead to a privacy violation may not be known to the user a priori. To address these challenges, we propose a GUI-based interactive process for detecting such violations and generating appropriate constraints. In this work, we demonstrate two approaches to implementing such a GUI that provide different ways of analyzing and interactively optimizing a PASQL query plan. N. R. Ong, S. E. Rojcewicz, Nicholas L. Farnan, Adam J. Lee, Panos K. Chrysanthis, Ting Yu 0001 |
ICDE | 1 |