Database Paper Browser

Back to papers

Fast and Adaptive Indexing of Multi-Dimensional Observational Data

Summary: Real-time ingestion of multi-D observational data via hyperspace line segments, cutting index entries and over-coverage. Background refinement boosts query efficiency while preserving ingestion throughput, outperforming MBB-based indexes on real workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11308
Venue
VLDB
Year
2016
Pagerank
4.427268e-05
Overall Rank
8,895 | 38.12%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
7,743 Efficient Data Ingestion and Query Processing for LSM-Based Storage Systems 2019 VLDB 4.6626575e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 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