Uncertainty arises naturally inmany application domains due to, e.g., da...
In this work, we study the problem of computing a tuple's expected
multi...
We introduce historical what-if queries, a novel type of what-if analysi...
A wide variety of fairness metrics and eXplainable Artificial Intelligen...
Database systems analyze queries to determine upfront which data is need...
In many data analysis applications, there is a need to explain why a
sur...
Query-based explanations for missing answers identify which operators of...
Certain answers are a principled method for coping with the uncertainty ...
Why and why-not provenance have been studied extensively in recent years...
Certain answers are a principled method for coping with uncertainty that...
Snapshot semantics is widely used for evaluating queries over temporal d...
HRDBMS is a novel distributed relational database that uses a hybrid mod...
Explaining why an answer is (or is not) returned by a query is important...
A well-established technique for capturing database provenance as annota...
Debugging transactions and understanding their execution are of immense
...