Database Paper Browser

Back to papers

When Speed Has a Price: Fast Information Extraction Using Approximate Algorithms

Summary: Proposes an optimizer for information extraction that embraces approximate execution plans to accelerate IE tasks. It models time, recall, and precision across exact and approximate plans, and validates scalability with large-scale real-world datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10636
Venue
VLDB
Year
2013
Pagerank
4.5754467e-05
Overall Rank
8,148 | 43.32%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
1,627 Data Cleaning: Overview and Emerging Challenges 2016 SIGMOD 0.00011086905
11,930 ConfSeer: Leveraging Customer Support Knowledge Bases for Automated Misconfiguration Detection 2015 VLDB 4.1945683e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 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