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Software Engineering】对于各个领域的信息资源管理而言, 数据质量一直是一个非常关键的问题。现实世界中的数据往往存在着各种各样的问题, 从 简单的拼写错误到复杂的语义不一致错误。数据清洗的目标就是检测并去除数据中存在的各种错误和不一致, 提高数据的质量。该文 归纳、总结了数据清洗相关研究的现状, 提出一个面向多数据源的数据清洗框架的定义。框架实现了术语模型、处理描述文件和共 享库等概念和技术。-Data quality is crucial for infor
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