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20202025
most citedExplaining Natural Language Query Results

17 citations · 27 across the 10 of their papers we have counts for

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13 papers · 1 filter

cs.DB2025

Computing Inconsistency Measures Under Differential Privacy

Shubhankar Mohapatra, Amir Gilad, Xi He +1

Assessing data quality is crucial to knowing whether and how to use the data for different purposes. Specifically, given a collection of integrity constraints, various ways have be…

cs.DB2024

The Cost of Representation by Subset Repairs

Yuxi Liu, Fangzhu Shen, Kushagra Ghosh +3

Datasets may include errors, and specifically violations of integrity constraints, for various reasons. Standard techniques for ``minimal-cost'' database repairing resolve these vi…

cs.DB2024

Summarized Causal Explanations For Aggregate Views (Full version)

Brit Youngmann, Michael Cafarella, Amir Gilad +1

SQL queries with group-by and average are frequently used and plotted as bar charts in several data analysis applications. Understanding the reasons behind the results in such an a…

cs.DB2024

Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries

Yihao Hu, Amir Gilad, Kristin Stephens-Martinez +2

We describe a system called Qr-Hint that, given a (correct) target query Q* and a (wrong) working query Q, both expressed in SQL, provides actionable hints for the user to fix the…

cs.DB2023

DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms

Shweta Patwa, Danyu Sun, Amir Gilad +2

Synthetic data generation methods, and in particular, private synthetic data generation methods, are gaining popularity as a means to make copies of sensitive databases that can be…

cs.DB20225 cited

FEDEX: An Explainability Framework for Data Exploration Steps

Daniel Deutch, Amir Gilad, Tova Milo +2

When exploring a new dataset, Data Scientists often apply analysis queries, look for insights in the resulting dataframe, and repeat to apply further queries. We propose in this pa…