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N. R. Ong

dblp:163/3931 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Query processing and optimization
query optimization
0.212015
Interactive preference-aware query optimization · ICDE 2015
Query processing and optimization › parallel query processing
distributed query plan
0.112015
Interactive preference-aware query optimization · ICDE 2015

Methods — techniques the papers use, named apart from their topics

GUI-based interactive optimization · 0.4
YearPublicationVenuePosition
2015 Interactive preference-aware query optimization
abstract
PASQL 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
ICDE1