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David Avigdor

dblp:415/9916 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—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 since 2021

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 · 67% Data mining · 33%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization
aggregate query processing
0.912025
ClaimIt: Finding Convincing Views to Endorse a Claim · Proc. VLDB Endow. 2025
Query processing and optimization › materialized view
materialized view selection
0.912025
ClaimIt: Finding Convincing Views to Endorse a Claim · Proc. VLDB Endow. 2025
Data mining › pattern mining
subgroup discovery
0.912025
ClaimIt: Finding Convincing Views to Endorse a Claim · Proc. VLDB Endow. 2025
Visualization and visual analytics
interactive data exploration
0.312025
ClaimIt: Finding Convincing Views to Endorse a Claim · Proc. VLDB Endow. 2025

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

ranking · 1.7naturalness measures · 0.9naturalness measure · 0.9anytime algorithms · 0.9anytime algorithm · 0.9
YearPublicationVenuePosition
2025 ClaimIt: Finding Convincing Views to Endorse a Claim
abstract
The demonstration presents ClaimIt — a tool for extracting views that support a user-provided claim. Such views can assist users in finding evidence of phenomena of interest, criticizing given claims by proposing opposing viewpoints, inspecting the robustness of statements with respect to subpopulations, and so on. To be useful, the view should constitute a "natural" characterization of a significant subpopulation. In a recently published work, we focused on claims that compare groups by an aggregate query, and explored the measurement of naturalness as well as the algorithmic challenge of handling the plenitude of possible views. ClaimIt realizes the framework as an interactive system that enables users to phrase their claims in a convenient user interface, extract supporting views, sort them by different measures of naturalness, and control the weights of individual measures in a global ranking function. In the demonstration of ClaimIt, the audience will be able to suggest and analyze different claims on various datasets. A companion video for this submission is available at https://youtu.be/k2KxyeHzRq8.
Shunit Agmon, David Avigdor, Brit Youngmann, Amir Gilad, Benny Kimelfeld
Proc. VLDB Endow.2