应用基于q-gram的多字符串匹配算法进行近似匹配

Robert Susik
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引用次数: 1

摘要

我们考虑了多模式匹配算法在近似模式匹配中的应用。我们提出了在线方法,将问题从近似模式匹配转化为多模式匹配(称为划分为精确搜索)。提出的解决方案允许相对快速地搜索具有给定k差(或不匹配)的文本中的多个模式。本文给出了基于MAG算法的解与[4]的比较。对DNA、英语、蛋白质和XML文本的实验表明,该算法在实际应用中取得了较好的效果,误差不超过k。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
APPLYING A Q-GRAM BASED MULTIPLE STRING MATCHING ALGORITHM FOR APPROXIMATE MATCHING
We consider the application of multiple pattern matching (Multi AOSO on q-Grams) algorithm for approximate pattern matching. We propose the on-line approach which translates the problem from approximate pattern matching into a multiple pattern one (called partitioning into exact search). Presented solution allows relatively fast search multiple patterns in text with given k-differences(or mismatches). This paper presents comparison of solution based on MAG algorithm, and [4]. Experiments on DNA, English, Proteins and XML texts with up to k errors show that the new proposed algorithm achieves relatively good results in practical use.
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