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Enumerating Range Modes

Authors Kentaro Sumigawa, Sankardeep Chakraborty, Kunihiko Sadakane , Srinivasa Rao Satti

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Author Details

Kentaro Sumigawa
  • Graduate School of Information Technology and Science, The University of Tokyo, Japan
Sankardeep Chakraborty
  • National Institute of Informatics, Tokyo, Japan
Kunihiko Sadakane
  • Graduate School of Information Technology and Science, The University of Tokyo, Japan
Srinivasa Rao Satti
  • Department of Computer Science and Engineering, Seoul National University, South Korea

Funding

  • Chakraborty, Sankardeep: Supported by JSPS KAKENHI Grant Number 18H05291, Japan.
  • Sadakane, Kunihiko: Supported by JST CREST Grant Number JPMJCR1402, Japan.

Cite As Get BibTex

Kentaro Sumigawa, Sankardeep Chakraborty, Kunihiko Sadakane, and Srinivasa Rao Satti. Enumerating Range Modes. In 31st International Symposium on Algorithms and Computation (ISAAC 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 181, pp. 29:1-29:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020) https://doi.org/10.4230/LIPIcs.ISAAC.2020.29

Abstract

Given a sequence of elements, we consider the problem of indexing the sequence to support range mode queries - given a query range, find the element with maximum frequency in the range. We give indexing data structures for this problem; given a sequence, we construct a data structure that can be used later to process arbitrary queries. Our algorithms are efficient for small maximum frequency cases. We also consider a natural generalization of the problem: the range mode enumeration problem, for which there has been no known efficient algorithms. Our algorithms have query time complexities which are linear in the output size plus small terms.

Subject Classification

ACM Subject Classification
  • Theory of computation → Data structures design and analysis
Keywords
  • range mode
  • space-efficient data structure
  • enumeration algorithm

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References

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