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Search and compression of large amount of text files with two stage compression method

机译:使用两阶段压缩方法搜索和压缩大量文本文件

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In this paper we discuss search and compression of large amount of text files with two stage compression method. The texts are usually stored in secondary storage, and they are frequently compressed for file size saving. When we search compressed text files, it is usually necessary to decode them before search. Therefore, search is time consuming. On the other hand, we can use indexing for fast search. But indices consume extra amount of secondary storage. We proposed a two-stage compression method to improve the performance. It compresses text files using index files and romp cases the result again with another algorithm. This paper discusses application of the two-stage compression method for large amount of text files such as newspaper and magazine data, arid proposes an improved method.
机译:在本文中,我们讨论了使用两阶段压缩方法来搜索和压缩大量文本文件。文本通常存储在辅助存储中,并且经常进行压缩以节省文件大小。当我们搜索压缩文本文件时,通常需要在搜索之前对其进行解码。因此,搜索很耗时。另一方面,我们可以使用索引进行快速搜索。但是索引消耗了额外的二级存储空间。我们提出了一种两阶段压缩方法来提高性能。它使用索引文件压缩文本文件,并使用另一种算法再次对结果进行大小写处理。本文讨论了两阶段压缩方法在报纸和杂志数据等大量文本文件中的应用,并提出了一种改进的方法。

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