Categorical Range Maxima Queries
Summary: Defines Categorical Range Maxima Query (CRMQ): for each color in A[a..b] report the maximum-valued item (and its position); considers threshold and top-k variants. Presents linear-space RAM O(k) queries and external-memory structures with optimal O(1+k/B) I/Os (almost-linear or linear space with O(log* n) overhead), yielding improved categorical range reporting and document-retrieval bounds. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Manish Patil (Louisiana State University)
- 2. Sharma V. Thankachan (University of Waterloo)
- 3. Rahul Shah (Louisiana State University)
- 4. Yakov Nekrich (University of Waterloo)
- 5. Jeffrey Scott Vitter (University of Kansas)
BibTeX Citation
@inproceedings{patil_pods14,
address = {New York, NY, USA},
series = {{PODS} '14},
title = {{Categorical Range Maxima Queries}},
url = {https://dl.acm.org/doi/10.1145/2594538.2594557},
doi = {10.1145/2594538.2594557},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Patil, Manish and Thankachan, Sharma V. and Shah, Rahul and Nekrich, Yakov and Vitter, Jeffrey Scott},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,028 | Efficient Top-k Indexing via General Reductions | 2016 | PODS | 5.093636e-05 |
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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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,529 | On Two-Dimensional Indexability and Optimal Range Search Indexing (Extended Abstract) | 1999 | PODS | 0.00010482997 |
| 12,302 | Space-Efficient Range Reporting for Categorical Data | 2012 | PODS | 5.093636e-05 |
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| 10 | 12,302 | Space-Efficient Range Reporting for Categorical Data | 2012 | PODS |