An Object-oriented Quality Framework with Optimization Models for Managing Data Quality in Data Warehouse Applications


⎯Data quality is an important issue, especially in large-scale data applications such as data warehousing (DW). The validity (a super quality type specialized by accuracy, completeness, consistency, and currency) of data in fact has corresponding impacts on ad-hoc decisions. To ensure quality, improvement actions such as edit check, imputation, and audit et… (More)


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