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Absent words in a sliding window with applications

机译:使用应用程序的滑动窗口中缺席

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An absent word of a word y is a word that does not occur in y. It is then called minimal if all its proper factors occur in y. In fact, minimal absent words (MAWs) provide useful information about y and thus have several applications. In this paper, we propose an algorithm that maintains the set of MAWs of a fixed-length window sliding over y online. Our algorithm represents MAWs through nodes of the suffix tree. Specifically, the suffix tree of the sliding window is maintained using modified Senft's algorithm (Senft, 2005), itself generalizing Ukkonen's online algorithm (Ukkonen, 1995). We then apply this algorithm to the approximate pattern-matching problem under the Length Weighted Index distance (Chairungsee and Crochemore, 2012). This results in an online O(σ|y|)-time algorithm for finding approximate occurrences of a word ⅹ in y, |x| ≤ |y|, where σ is the alphabet size.
机译:一个词y的缺陷是一个在y中没有发生的词。然后,如果在y中出现所有适当的因素,则称为最小。实际上,最小的缺席单词(MAWS)提供有关Y的有用信息,因此有几个应用程序。在本文中,我们提出了一种算法,该算法在在线上维护一组固定长度窗口的MAW。我们的算法代表了通过后缀树的节点的maws。具体地,使用修改的Senft的算法(Senft,2005)来维持滑动窗口的后缀树,本身概括了Ukkonen的在线算法(Ukkonen,1995)。然后,我们将该算法应用于长度加权索引距离下的近似模式匹配问题(译文和Crochemore,2012)。这导致在线O(σ| y |)-time算法,用于查找y,| x |的单词ⅹ的近似出现≤|,其中σ是字母尺寸。

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