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View all- Sadiq SDasu TDong XFreire JIlyas ILink SMiller MNaumann FZhou XSrivastava D(2018)Data QualityACM SIGMOD Record10.1145/3186549.318655946:4(35-43)Online publication date: 22-Feb-2018
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 ...
Integrity constraints, guiding the cleaning of dirty data, are often found to be imprecise as well. Existing studies consider the inaccurate constraints that are oversimplified, and thus refine the constraints via inserting more predicates (attributes). ...
The rise of GPS-equipped mobile devices has led to the emergence of big trajectory data. The collected raw data usually contain errors and anomalies information caused by device failure, sensor error, and environment influence. Low-quality data fails to ...
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