Konferans bildirisi Açık Erişim
Kuelekci, A. Oguzhan
{ "@context": "https://schema.org/", "@id": 97839, "@type": "ScholarlyArticle", "creator": [ { "@type": "Person", "name": "Kuelekci, A. Oguzhan" } ], "datePublished": "2007-01-01", "description": "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.", "headline": "An empirical analysis of pattern scan order in pattern matching", "identifier": 97839, "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", "license": "http://www.opendefinition.org/licenses/cc-by", "name": "An empirical analysis of pattern scan order in pattern matching", "url": "https://aperta.ulakbim.gov.tr/record/97839" }
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