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Constrained Approximate Subtree Matching by Finite Automata

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F18%3A00323912" target="_blank" >RIV/68407700:21240/18:00323912 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.stringology.org/event/2018/p08.html" target="_blank" >http://www.stringology.org/event/2018/p08.html</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Constrained Approximate Subtree Matching by Finite Automata

  • Original language description

    Processing tree data structures usually requires a pushdown automaton as a model of computation. Therefore, it is interesting that a finite automaton can be used to solve the constrained approximate subtree pattern matching problem. A systematic approach to the construction of such matcher by finite automaton, which reads input trees in prefix bar notation, is presented. Given a tree pattern and an input tree with m and n nodes, respectively, the nondeterministic finite automaton for the pattern is constructed and it is able to find all occurrences of the pattern to subtrees of the input tree with maximum given distance k. The distance between the pattern and subtrees of an input tree is measured by minimal number of restricted tree edit operations, called leaf nodes edit operations. The corresponding deterministic finite automaton finds all occurrences in time O(n) and has O(|A|^k m^(k+1)) states, where A is an alphabet containing all possible node labels. Note that the size is not exponential in the number of nodes of the tree pattern but only in the number of errors. In practice, the number of errors is expected to be a small constant that is much smaller than the size of the pattern. To achieve better space complexity, it is also shown how dynamic programming approach can be used to simulate the nondeterministic automaton. The space complexity of this approach is O(m), while the time complexity is O(mn).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Prague Stringology Conference 2018

  • ISBN

    978-80-01-06484-9

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    79-90

  • Publisher name

    Czech Technical University in Prague

  • Place of publication

    Praha

  • Event location

    Prague

  • Event date

    Aug 27, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article