Abstract
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.
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Fang, Y., Wang, H., Yang, D. (2005). Avoiding Error-Prone Reordering Optimization During Legal Systems Migration. In: Andersen, K.V., Debenham, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2005. Lecture Notes in Computer Science, vol 3588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11546924_4
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DOI: https://doi.org/10.1007/11546924_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28566-3
Online ISBN: 978-3-540-31729-6
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