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        <identifier>oai:drops-oai.dagstuhl.de:17346</identifier>
        <datestamp>2024-03-06T10:59:31Z</datestamp>
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          <dc:title>Simple Order-Isomorphic Matching Index with Expected Compact Space</dc:title>
          <dc:creator>Kim, Sung-Hwan</dc:creator>
          <dc:creator>Cho, Hwan-Gue</dc:creator>
          <dc:subject>Compact Data Structure</dc:subject>
          <dc:subject>String Matching</dc:subject>
          <dc:subject>Order-Preserving Matching</dc:subject>
          <dc:subject>Suffix Array</dc:subject>
          <dc:subject>FM-index</dc:subject>
          <dc:subject>Binary Search Tree</dc:subject>
          <dc:description>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] &lt; X[j] iff Y[i] &lt; Y[j] for 0 ≤ i,j &lt; |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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Sung-Hwan Kim and Hwan-Gue Cho</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 248, 33rd International Symposium on Algorithms and Computation (ISAAC 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2022.61</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-173466</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2022.61</dc:identifier>
          <dc:language>eng</dc:language>
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