A new approach to hash function construction for textual data: A comparison

V. Skala, Radek Petruska
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引用次数: 1

Abstract

Many techniques for text processing are based on efficient data storing and retrieval techniques. Careful selection of data structures used and retrieval techniques play a significant role in efficiency of the whole system of data processing. Hashing technique is one very often used technique with O(1) run-time complexity for data storing and retrieval. A comparison of new technique for hash function construction is presented in the paper without need of division operation. The comparison of the proposed technique is especially convenient for large textual data sets processing. State of the art in hashing of textual data is given (the perfect hashing techniques are not included). The proposed hash function construction and hashing technique have been compared with other comparative techniques for different languages and textual data (chemical data sets etc.).
文本数据哈希函数构造的一种新方法:比较
许多文本处理技术都是基于高效的数据存储和检索技术。仔细选择所使用的数据结构和检索技术对整个数据处理系统的效率起着重要的作用。散列技术是一种非常常用的技术,用于数据存储和检索的运行时复杂度为0(1)。本文比较了一种不需要除法运算的构造哈希函数的新技术。该方法的比较特别便于对大型文本数据集的处理。本文给出了文本数据散列的最新技术(不包括完美的散列技术)。对于不同的语言和文本数据(化学数据集等),已经将所提出的哈希函数构造和哈希技术与其他比较技术进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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