使用基数树的高效字处理应用程序

Unnati Koppikar, Akshata Rajur, G. Jayalaxmi
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引用次数: 0

摘要

计算机需要一种高效的机制来存储、检索、管理和处理海量数据。当数据在存储设备和主存储器上被有效地组织起来时,它就可以被快速地访问以进行处理。它将减少用户的访问时间,为用户提供更好的工作环境。数据结构提供了一种组织数据的方案,这种方案将导致数据的系统组织,使数据能够快速地供处理器处理。文字处理是一个强大的功能,它允许用户创建、插入、修改和搜索文件中的文本。本文的作者建议使用基数trie数据库来有效地处理字处理应用程序。该数据结构可用于存储和检索各种应用程序的信息,如前缀匹配(自动完成)、信息检索、字典实现。在本文中,作者讨论了他们在为字处理应用程序设计、实现基数树的经验。实验结果表明,与哈希表等其他字处理数据结构相比,基数尝试具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Word Processing Applications Using Radix Tree
Computer needs an efficient mechanism to store, retrieve, manage and process huge amount of data. When the data is organized efficiently on the storage device and on the main memory then it can be accessed quickly for processing. It will reduce the access time and will provide better working environment to the users. Data structure provides a scheme to organize the data which will lead to systematic organization of the data in such a way that data will be quickly available for the processor to process. Word processing is a powerful feature that allows the user to create, insert, modify and search the text in a file. The authors of this paper propose usage of radix trie datastructure for efficiently handling word processing applications. This datastructure can be used for storing and retrieving information for various applications such as Prefix Matching (Auto complete), Information Retrieval, Dictionary Implementation. In this paper authors discuss their experience in design, implementation of Radix Tree for word processing applications. The experimental result shows that radix tries performs better compared to other word processing datastructure such as hash tables.
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