Fundamental to data cleaning is the need to account for multiple data representations. We propose a formal framework that can be used to reason about and manipulate data representations. The framework is declarative and combines elements of a generative ...
Data cleansing can be considered to be an activity that is performed on the data sets of the data warehouse. The cleansing is done in order to enhance and collectively maintain data consistency and quality. The quality of data has a strong impact on a ...
Data quality is a critical factor for the success of data warehousing projects. Improving the quality of data is important in data warehouse, because it is used in the process of decision support, which requires accurate data. There are many errors and ...
Association for Computing Machinery
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