36 citations · 65 across the 6 of their papers we have counts for
3 papers · 1 filter
Automated Data Slicing for Model Validation:A Big data - AI Integration Approach
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis +2
As machine learning systems become democratized, it becomes increasingly important to help users easily debug their models. However, current data tools are still primitive when it…
A Data Quality Metric (DQM): How to Estimate The Number of Undetected Errors in Data Sets
Yeounoh Chung, Sanjay Krishnan, Tim Kraska
Data cleaning, whether manual or algorithmic, is rarely perfect leaving a dataset with an unknown number of false positives and false negatives after cleaning. In many scenarios, q…
Estimating the Impact of Unknown Unknowns on Aggregate Query Results
Yeounoh Chung, Michael Lind Mortensen, Carsten Binnig +1
It is common practice for data scientists to acquire and integrate disparate data sources to achieve higher quality results. But even with a perfectly cleaned and merged data set,…