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Avoiding Error-Prone Reordering Optimization During Legal Systems Migration

机译:避免在法律系统迁移期间避免易于重新排序的优化

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During Legal information systems migrations, one major problem is to handle attribute value cleaning. In the paper, we first show many data cleaning steps process on the values of the same data attributes and their derivations, and users may ignore or be puzzled by the data transforms that are defined to clean and transform the data sets, and such process can also be prone to error during process optimization. In this paper, we first define two major such problems as assignment conflict and range conflict, and giving problem definitions for such conflicts. Then we present two separate algorithms respectively to discover and solve the conflicts.
机译:在法律信息系统迁移期间,一个主要问题是处理属性值清洁。在本文中,我们首先在相同数据属性的值及其派生的值上显示许多数据清理步骤处理,用户可以忽略或被定义的数据变换疑惑,这些数据变换为清除和转换数据集,而且此类过程可以过程优化期间也容易出现错误。在本文中,我们首先将两个主要问题定义为分配冲突和范围冲突,并为这种冲突提供问题定义。然后我们分别呈现两个单独的算法来发现和解决冲突。

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