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# Simple Order-Isomorphic Matching Index with Expected Compact Space

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LIPIcs.ISAAC.2022.61.pdf
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## Acknowledgements

The authors would like to thank anonymous reviewers for their helpful comments.

## Cite As

Sung-Hwan Kim and Hwan-Gue Cho. Simple Order-Isomorphic Matching Index with Expected Compact Space. In 33rd International Symposium on Algorithms and Computation (ISAAC 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 248, pp. 61:1-61:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/LIPIcs.ISAAC.2022.61

## Abstract

In this paper, we present a novel indexing method for the order-isomorphic pattern matching problem (also known as order-preserving pattern matching, or consecutive permutation matching), in which two equal-length strings are defined to match when X[i] < X[j] iff Y[i] < Y[j] for 0 ≤ i,j < |X|. We observe an interesting relation between the order-isomorphic matching and the insertion process of a binary search tree, based on which we propose a data structure which not only has a concise structure comprised of only two wavelet trees but also provides a surprisingly simple searching algorithm. In the average case analysis, the proposed method requires 𝒪(R(T)) bits, and it is capable of answering a count query in 𝒪(R(P)) time, and reporting an occurrence in 𝒪(lg |T|) time, where T and P are the text and the pattern string, respectively; for a string X, R(X) is the total time taken for the construction of the binary search tree by successively inserting the keys X[|X|-1],⋯,X[0] at the root, and its expected value is 𝒪(|X|lgσ) where σ is the alphabet size. Furthermore, the proposed method can be viewed as a generalization of some other methods including several heuristics and restricted versions described in previous studies in the literature.

## Subject Classification

##### ACM Subject Classification
• Theory of computation → Pattern matching
##### Keywords
• Compact Data Structure
• String Matching
• Order-Preserving Matching
• Suffix Array
• FM-index
• Binary Search Tree

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