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20162022
most citedHRDBMS: Combining the Best of Modern and Traditional Relational Databases

4 citations · 10 across the 9 of their papers we have counts for

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cs.DB20221 cited

Efficient Answering of Historical What-if Queries

Felix S. Campbell, Bahareh Sadat Arab, Boris Glavic

We introduce historical what-if queries, a novel type of what-if analysis that determines the effect of a hypothetical change to the transactional history of a database. For exampl…

cs.DB2021

Provenance-based Data Skipping (TechReport)

Xing Niu, Ziyu Liu, Pengyuan Li +1

Database systems analyze queries to determine upfront which data is needed for answering them and use indexes and other physical design techniques to speed-up access to that data.…

cs.DB20212 cited

Putting Things into Context: Rich Explanations for Query Answers using Join Graphs (extended version)

Chenjie Li, Zhengjie Miao, Qitian Zeng +2

In many data analysis applications, there is a need to explain why a surprising or interesting result was produced by a query. Previous approaches to explaining results have direct…

cs.DB2021

To not miss the forest for the trees -- a holistic approach for explaining missing answers over nested data (extended version)

Ralf Diestelkaemper, Seokki Lee, Melanie Herschel +1

Query-based explanations for missing answers identify which operators of a query are responsible for the failure to return a missing answer of interest. This type of explanations h…

cs.DB20211 cited

Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds (extended version)

Su Feng, Aaron Huber, Boris Glavic +1

Certain answers are a principled method for coping with the uncertainty that arises in many practical data management tasks. Unfortunately, this method is expensive and may exclude…

cs.DB2020

Approximate Summaries for Why and Why-not Provenance (Extended Version)

Seokki Lee, Bertram Ludaescher, Boris Glavic

Why and why-not provenance have been studied extensively in recent years. However, why-not provenance, and to a lesser degree why provenance, can be very large resulting in severe…