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New Approach for Speeding-up Technique of the Retrieval Using Dynamic Full-Text Search Algorithm

机译:使用动态全文搜索算法来加速技术加速技术的新方法

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Full-text search is widely used for various services of the Internet. A more high-speed and a more efficient full-text search technology are necessary because of the amount of increasing handled document and corresponding document data every day. An adaptive block management algorithm for efficient dynamic data management and speeding up character string retrieval were proposed. This paper proposes a speed-up technique of the retrieval by dynamic full-text search algorithm. Also, the update efficiency of dynamic full-text search system is very high compared with static full-text search system. So, when comparing 200MB registered document using this system speed will be about 426 times higher than static full-text search system. Moreover, this paper presents an efficient achievement method of the dynamic full-text search system for speeding deletion processing time. This experiment proven that the speed for deletion processing time is very high because the deletion of 50 files was 0.2 s or less.
机译:全文搜索广泛用于互联网的各种服务。由于每天增加处理文档和相应的文档数据,因此需要更高速度和更有效的全文搜索技术。提出了一种用于高效动态数据管理和加速字符串检索的自适应块管理算法。本文提出了一种通过动态全文搜索算法检索的加速技术。此外,与静态全文搜索系统相比,动态全文搜索系统的更新效率非常高。因此,使用此系统速度比较200MB注册文档,比静态全文搜索系统高出426倍。此外,本文提出了一种用于加速删除处理时间的动态全文搜索系统的有效成就方法。该实验证明,删除处理时间的速度非常高,因为50个文件的删除为0.2 s或更少。

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