1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.DB2020
Sample Debiasing in the Themis Open World Database System (Extended Version)
Laurel Orr, Magda Balazinska, Dan Suciu
Open world database management systems assume tuples not in the database still exist and are becoming an increasingly important area of research. We present Themis, the first open…
cs.DB2020★ 1 cited
Mosaic: A Sample-Based Database System for Open World Query Processing
Laurel Orr, Samuel Ainsworth, Walter Cai +3
Data scientists have relied on samples to analyze populations of interest for decades. Recently, with the increase in the number of public data repositories, sample data has become…
cs.DB2019
EntropyDB: A Probabilistic Approach to Approximate Query Processing
Laurel Orr, Magdalena Balazinska, Dan Suciu
We present EntropyDB, an interactive data exploration system that uses a probabilistic approach to generate a small, query-able summary of a dataset. Departing from traditional sum…