most citedThe Shapley Value in Database Management

21 citations · 30 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DB2024

SpannerLib: Embedding Declarative Information Extraction in an Imperative Workflow

Dean Light, Ahmad Aiashy, Mahmoud Diab +3

Document spanners have been proposed as a formal framework for declarative Information Extraction (IE) from text, following IE products from the industry and academia. Over the pas…

cs.DB20241 cited

Finding Convincing Views to Endorse a Claim

Shunit Agmon, Amir Gilad, Brit Youngmann +2

Recent studies investigated the challenge of assessing the strength of a given claim extracted from a dataset, particularly the claim's potential of being misleading and cherry-pic…

cs.LG20241 cited

Selecting Walk Schemes for Database Embedding

Yuval Lev Lubarsky, Jan Tönshoff, Martin Grohe +1

Machinery for data analysis often requires a numeric representation of the input. Towards that, a common practice is to embed components of structured data into a high-dimensional…

cs.LG20241 cited

Accelerating the Global Aggregation of Local Explanations

Alon Mor, Yonatan Belinkov, Benny Kimelfeld

Local explanation methods highlight the input tokens that have a considerable impact on the outcome of classifying the document at hand. For example, the Anchor algorithm applies a…

cs.DB202421 cited

The Shapley Value in Database Management

Leopoldo Bertossi, Benny Kimelfeld, Ester Livshits +1

Attribution scores can be applied in data management to quantify the contribution of individual items to conclusions from the data, as part of the explanation of what led to these…

cs.DB20236 cited

Efficient Computation of Quantiles over Joins

Nikolaos Tziavelis, Nofar Carmeli, Wolfgang Gatterbauer +2

We present efficient algorithms for Quantile Join Queries, abbreviated as %JQ. A %JQ asks for the answer at a specified relative position (e.g., 50% for the median) under some orde…