16 citations · 24 across the 6 of their papers we have counts for
7 papers
Understanding Queries by Conditional Instances
Amir Gilad, Zhengjie Miao, Sudeepa Roy +1
A powerful way to understand a complex query is by observing how it operates on data instances. However, specific database instances are not ideal for such observations: they often…
Dynamic Enumeration of Similarity Joins
Pankaj K. Agarwal, Xiao Hu, Stavros Sintos +1
This paper considers enumerating answers to similarity-join queries under dynamic updates: Given two sets of points in , a metric , and a distance…
Efficiently Answering Durability Prediction Queries
Junyang Gao, Yifan Xu, Pankaj K. Agarwal +1
We consider a class of queries called durability prediction queries that arise commonly in predictive analytics, where we use a given predictive model to answer questions about pos…
Selecting Data to Clean for Fact Checking: Minimizing Uncertainty vs. Maximizing Surprise
Stavros Sintos, Pankaj K. Agarwal, Jun Yang
We study the optimization problem of selecting numerical quantities to clean in order to fact-check claims based on such data. Oftentimes, such claims are technically correct, but…
Learning to Sample: Counting with Complex Queries
Brett Walenz, Stavros Sintos, Sudeepa Roy +1
We study the problem of efficiently estimating counts for queries involving complex filters, such as user-defined functions, or predicates involving self-joins and correlated subqu…
Explaining Wrong Queries Using Small Examples
Zhengjie Miao, Sudeepa Roy, Jun Yang
For testing the correctness of SQL queries, e.g., evaluating student submissions in a database course, a standard practice is to execute the query in question on some test database…