Database Paper Browser

Back to papers

Distributed Outlier Detection using Compressive Sensing

Summary: Distributed outlier detection via compressive sensing; data sketches reduce inter-node communication to log N. Handles sparse data and data concentrated around an unknown value; implemented in Hadoop on real web-scale logs; up to 99% I/O reduction and up to 40% faster end-to-end queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5036
Venue
SIGMOD
Year
2015
Pagerank
4.7545562e-05
Overall Rank
7,351 | 48.87%
DOI
10.1145/2723372.2747641

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
8,599 Bias-Aware Sketches 2017 VLDB 4.4879268e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 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