17 citations · 31 across the 8 of their papers we have counts for
8 papers
Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries
Pierre Bourhis, Daniel Deutch, Yuval Moskovitch
The algebraic approach for provenance tracking, originating in the semiring model of Green et. al, has proven useful as an abstract way of handling metadata. Commutative Semirings…
Hypothetical Reasoning via Provenance Abstraction
Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
Data analytics often involves hypothetical reasoning: repeatedly modifying the data and observing the induced effect on the computation result of a data-centric application. Previo…
COBRA: Compression via Abstraction of Provenance for Hypothetical Reasoning
Daniel Deutch, Yuval Moskovitch, Noam Rinetzky
Data analytics often involves hypothetical reasoning: repeatedly modifying the data and observing the induced effect on the computation result of a data-centric application. Recent…
Explaining Natural Language Query Results
Daniel Deutch, Nave Frost, Amir Gilad
Multiple lines of research have developed Natural Language (NL) interfaces for formulating database queries. We build upon this work, but focus on presenting a highly detailed form…
Just in Time: Personal Temporal Insights for Altering Model Decisions
Naama Boer, Daniel Deutch, Nave Frost +1
The interpretability of complex Machine Learning models is coming to be a critical social concern, as they are increasingly used in human-related decision-making processes such as…
T-REx: Table Repair Explanations
Daniel Deutch, Nave Frost, Amir Gilad +1
Data repair is a common and crucial step in many frameworks today, as applications may use data from different sources and of different levels of credibility. Thus, this step has b…