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
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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e-ISSN
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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
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