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An empirical analysis of pattern scan order in pattern matching

Kuelekci, A. Oguzhan


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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/97839</identifier>
  <creators>
    <creator>
      <creatorName>Kuelekci, A. Oguzhan</creatorName>
      <givenName>A. Oguzhan</givenName>
      <familyName>Kuelekci</familyName>
    </creator>
  </creators>
  <titles>
    <title>An Empirical Analysis Of Pattern Scan Order In Pattern Matching</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2007</publicationYear>
  <dates>
    <date dateType="Issued">2007-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/97839</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.97838</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.97839</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">In pattern matching, scanning a given pattern in a particular order greatly influences the performance. This study investigates the effect of different pattern scan orders on natural language text and on DNA sequence data. Besides the well-known right-to-left ordering of Boyer-Moore, and from the least frequent character to most frequent one of Sunday's optimal mismatch algorithm, four alternative character search sequence orderings based on newly introduced distant n-gram statistics are proposed within this work. In all experiments, Sunday's pattern matching algorithm, where the characters of a given pattern can be scanned in any order, is used as the main framework. On natural language test data, the alternative pattern scan orders give better results in 60% of the test keywords. On genome data best ordering among the tested six approaches is the right-to-left order.</description>
  </descriptions>
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