DBScholar

Back to papers

Adaptive Index Structures

Summary: A general framework for adaptive indexes that minimizes total query cost by allowing index nodes to hold a variable number of disk pages and reconfiguring dynamically based on data and query characteristics. Adaptive B- and R-trees outperform conventional variants with modest update overhead. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9054
Venue
VLDB
Year
2002
Pagerank
5.3843737e-05
Overall Rank
8,689 | 40.39%
DOI
10.1016/B978-155860869-6/50044-5

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tao_vldb02,
        title = {{Adaptive Index Structures}},
        author = {Tao, Yufei and Papadias, Dimitris},
        journal = {PVLDB},
        series = {{VLDB} '02},
        pages = {13--24},
        doi = {10.1016/B978-155860869-6/50044-5},
        url = {https://doi.org/10.1016/B978-155860869-6/50044-5},
        year = {2002}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
6,647 AGILE: Adaptive Indexing for Context-Aware Information Filters 2005 SIGMOD 5.8147547e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 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