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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)

Paper ID
1633
Venue
PODS
Year
2014
Pagerank
4.8925595e-05
Overall Rank
6,917 | 51.89%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,825 Efficient Top-k Indexing via General Reductions 2016 PODS 4.1945683e-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
1,182 On Two-Dimensional Indexability and Optimal Range Search Indexing (Extended Abstract) 1999 PODS 0.00013455963
12,105 Space-Efficient Range Reporting for Categorical Data 2012 PODS 4.1945683e-05
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