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        <identifier>oai:drops-oai.dagstuhl.de:13255</identifier>
        <datestamp>2024-03-06T10:51:57Z</datestamp>
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          <dc:title>String Indexing for Top-k Close Consecutive Occurrences</dc:title>
          <dc:creator>Bille, Philip</dc:creator>
          <dc:creator>Gørtz, Inge Li</dc:creator>
          <dc:creator>Pedersen, Max Rishøj</dc:creator>
          <dc:creator>Rotenberg, Eva</dc:creator>
          <dc:creator>Steiner, Teresa Anna</dc:creator>
          <dc:subject>String indexing</dc:subject>
          <dc:subject>pattern matching</dc:subject>
          <dc:subject>consecutive occurrences</dc:subject>
          <dc:description>The classic string indexing problem is to preprocess a string S into a compact data structure that supports efficient subsequent pattern matching queries, that is, given a pattern string P, report all occurrences of P within S. In this paper, we study a basic and natural extension of string indexing called the string indexing for top-k close consecutive occurrences problem (Sitcco). Here, a consecutive occurrence is a pair (i,j), i &lt; j, such that P occurs at positions i and j in S and there is no occurrence of P between i and j, and their distance is defined as j-i. Given a pattern P and a parameter k, the goal is to report the top-k consecutive occurrences of P in S of minimal distance. The challenge is to compactly represent S while supporting queries in time close to the length of P and k. We give two time-space trade-offs for the problem. Let n be the length of S, m the length of P, and ε ∈ (0,1]. Our first result achieves O(nlog n) space and optimal query time of O(m+k), and our second result achieves linear space and query time O(m+k^{1+ε}). Along the way, we develop several techniques of independent interest, including a new translation of the problem into a line segment intersection problem and a new recursive clustering technique for trees.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Philip Bille and Inge Li Gørtz and Max Rishøj Pedersen and Eva Rotenberg and Teresa Anna Steiner</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 182, 40th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.FSTTCS.2020.14</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-132558</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2020.14</dc:identifier>
          <dc:language>eng</dc:language>
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