Inference of edit costs using parametric string matching

Q4 Computer Science
H. Bunke, J. Csirik
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引用次数: 12

Abstract

String matching is a useful concept in pattern recognition that is constantly receiving attention from both theoretical and practical points of view. The authors propose a generalized version of the string matching algorithm by Wagner and Fischer (1974). It is based on a parametrization of the edit cost. The authors assume constant cost for any delete and insert operation, but the cost for replacing a symbol is given as a parameter r. For any two given strings A and B, the algorithm computes the edit distance of A and B in terms of the parameter r. The authors give the new algorithm and study some of its properties. Its time complexity is O(n/sup 2/.m), where n and m are the lengths of the two strings to be compared and n>
使用参数字符串匹配的编辑成本推断
字符串匹配是模式识别中一个非常有用的概念,一直受到理论和实践的关注。作者提出了由Wagner和Fischer(1974)提出的字符串匹配算法的广义版本。它是基于编辑成本的参数化。对于任意两个给定的字符串a和B,该算法用参数r来计算a和B的编辑距离。作者给出了新的算法,并研究了它的一些性质。其时间复杂度为O(n/sup 2/.m),其中n和m是要比较的两个字符串的长度,n>
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来源期刊
模式识别与人工智能
模式识别与人工智能 Computer Science-Artificial Intelligence
CiteScore
1.60
自引率
0.00%
发文量
3316
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