4 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.DB2017★ 4 cited
Efficiently Computing Provenance Graphs for Queries with Negation
Seokki Lee, Sven Koehler, Bertram Ludaescher +1
Explaining why an answer is in the result of a query or why it is missing from the result is important for many applications including auditing, debugging data and queries, and ans…
cs.DB2017★ 2 cited
Optimizing Provenance Computations
Xing Niu, Boris Glavic
Data provenance is essential for debugging query results, auditing data in cloud environments, and explaining outputs of Big Data analytics. A well-established technique is to repr…