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Proceedings of the Tenth International Conference on Enterprise Information Systems
It is a persistent challenge to achieve a high quality of data in data warehouses. Data cleaning is a crucial task for such a challenge. To deal with this challenge, a set of methods and tools has been developed. However, there are still at least two questions needed to be answered: How to improve the efficiency while performing data cleaning? How to improve the degree of automation when performing data cleaning? This paper challenges these two questions by presenting a novel framework, whichdoi:10.5220/0001706004730478 fatcat:y5mepkotqff6tfiqsxtz3jluse