Database Paper Browser

Back to papers

SPARTAN: A Model-Based Semantic Compression System for Massive Data Tables

Summary: SPARTAN stores a subset of attributes and predicts the rest with CaRT models under error bounds. It leverages attribute semantics and data-mining optimization to select predictors, enabling compression and approximate queries from small samples. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3276
Venue
SIGMOD
Year
2001
Pagerank
7.9306333e-05
Overall Rank
2,908 | 79.78%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 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