Database Paper Browser

Back to papers

Perturbation Analysis of Database Queries

Summary: Perada enables parallel perturbation analysis of queries. API supports grouping, memoization, and pruning; automatically optimizes with runtime learning; adapts to workloads; hides concurrency and failures—demonstrated on computational journalism. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11304
Venue
VLDB
Year
2016
Pagerank
5.2616521e-05
Overall Rank
5,935 | 58.76%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
4,974 Verifying Text Summaries of Relational Data Sets 2019 SIGMOD 5.7877104e-05
8,070 Optimizing Iceberg Queries with Complex Joins 2017 SIGMOD 4.5893281e-05
10,446 Demonstrating CEDAR: A System for Cost-Efficient Data-Driven Claim Verification 2025 SIGMOD 4.1905499e-05
10,753 CEDAR: A System for Cost-Efficient Data-Driven Claim Verification 2025 VLDB 4.1905499e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers