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Distribution-Aware Compressed Full-Text Indexes

机译:分发感知的压缩全文本索引

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摘要

In this paper we address the problem of building a compressed self-index that, given a distribution for the pattern queries and a bound on the space occupancy, minimizes the expected query time within that index space bound. We solve this problem by exploiting a reduction to the problem of finding a minimum weight K-link path in a properly designed Directed Acyclic Graph. Interestingly enough, our solution can be used with any compressed index based on the Burrows-Wheeler transform. Our experiments compare this optimal strategy with several other known approaches, showing its effectiveness in practice.
机译:在本文中,我们解决了构建压缩的自索引的问题,该自索引在给定模式查询的分布和空间占用的限制的情况下,将在该索引空间范围内的预期查询时间最小化。我们通过对在正确设计的有向无环图中找到最小权重K链接路径的问题进行归纳来解决此问题。有趣的是,我们的解决方案可以与基于Burrows-Wheeler变换的任何压缩索引一起使用。我们的实验将这种最佳策略与其他几种已知方法进行了比较,显示了其在实践中的有效性。

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