基于双变音位算法的国家数据中心（NDC）高速数据检索减少时间和忽略搜索关键字拼写错误
High speed data retrieval from national data center (ndc) reducing time and ignoring spelling error in search key based on double metaphone algorithm
摘要：
快速、高效的数据管理是当今社会的一项重要技术。本文提出了一个系统，使目前的手工系统存储和检索大量的孟加拉国公民信息的工作程序自动化，提高其效率。所实现的搜索方法是用户友好的和高效的高速数据检索忽略拼写错误的输入关键字用于搜索特定的公民。在这项研究中，主要关注的是最大限度地减少总的搜索时间为一个给定的关键字。这可以做到，如果我们可以预先建立的想法，得到属于搜索关键字的数据。双隐喻算法为每个单词生成的主要和次要关键代码用于建立关于单词的想法。该算法用于创建原始数据库的映射，通过该映射将关键字与数据进行匹配。
英文摘要：
Fast and efficient data management is one of the demanding technologies of todays aspect. This paper proposes a system which makes the working procedures of present manual system of storing and retrieving huge citizens information of Bangladesh automated and increases its effectiveness. The implemented search methodology is user friendly and efficient enough for high speed data retrieval ignoring spelling error in the input keywords used for searching a particular citizen. The main concern in this research is minimizing the total searching time for a given keyword. This can be done if we can pre-establish the idea of getting the data belonging to the searching keyword. The primary and secondary key-code generated by the Double Metaphone Algorithm for each word is used to establish that idea about the word. This algorithm is used for creating the map of the original database, through which the keyword is matched against the data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
