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• W2582507908 abstract "Many researchers have presented the need to incorporate and maintain data quality in Data Warehousing Systems. However, there is no consensus in the research community on how to do it. On the other hand, data loaded into the Data Warehouse come from different sources with different levels of quality. Analysis domains of these data can vary and users can perceive the quality in different ways, depending on their profile, the task to be performed, etc. Data quality depends on multiple factors: the sources, the task to be performed with the data, user preferences, etc. Hence, data quality depends on the context in which these data will be used. For this reason, we present a proposal to assess data quality in Data Warehousing Systems with an approach based on Contexts." @default.
• W2582507908 created "2017-02-03" @default.
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• W2582507908 date "2016-10-01" @default.
• W2582507908 modified "2023-09-23" @default.
• W2582507908 title "Data quality in data warehouse systems: A context-based approach" @default.
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• W2582507908 doi "https://doi.org/10.1109/clei.2016.7833371" @default.
• W2582507908 hasPublicationYear "2016" @default.
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