K-Gram作为Rabin-Karp算法中抄袭水平的决定因素

A. Siahaan, Mesran, R. Rahim, Dodi Siregar
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引用次数: 16

摘要

Rabin-Karp是用来检测两个字符串相似程度的算法之一。在这种情况下,字符串可以是一个短句,也可以是包含复杂单词的文档。在该算法中,抄袭级别的确定基于所检查的两个文档的相同哈希值。每个单词形成一定长度的K-Gram。然后将K-Gram转换为哈希值。源文档中的每个哈希值将与目标文档中的哈希值进行比较。相同的哈希数表示抄袭的程度。K- Gram的长度是抄袭水平的决定因素。通过确定合适的K-Gram长度,可以得到准确的结果。每个K-Gram值的结果会有所不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
K-Gram As A Determinant Of Plagiarism Level in Rabin-Karp Algorithm
Rabin-Karp is one of the algorithms used to detect the similarity levels of two strings. In this case, the string can be either a short sentence or a document containing complex words. In this algorithm, the plagiarism level determination is based on the same hash value on both documents examined. Each word will form K-Gram of a certain length. The K-Gram will then be converted into a hash value. Each hash value in the source document will be compared to the hash value in the target document. The same number of hashes is the level of plagiarism created. The length of K- Gram is the determinant of the plagiarism level. By determining the proper length of K-Gram, it produces the accurate result. The results will vary for each K-Gram value.
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