Now showing items 1-4 of 4

    • Modeling and Querying Uncertainty in Data Cleaning 

      Beskales, George (University of Waterloo, 2012-05-09)
      Data quality problems such as duplicate records, missing values, and violation of integrity constrains frequently appear in real world applications. Such problems cost enterprises billions of dollars annually, and might ...
    • On the Data Quality of Remotely Sensed Forest Maps 

      Ghasemitaheri, Shadi (University of Waterloo, 2023-08-10)
      Accurate forest monitoring data are essential for understanding and conserving forest ecosystems. However, the remoteness of forests and the scarcity of ground truth make it hard to identify data quality issues. We present ...
    • Query Answering over Functional Dependency Repairs 

      Galiullin, Artur (University of Waterloo, 2013-09-23)
      Inconsistency often arises in real-world databases and, as a result, critical queries over dirty data may lead users to make ill-informed decisions. Functional dependencies (FDs) can be used to specify intended semantics ...
    • Scalable and Holistic Qualitative Data Cleaning 

      Chu, Xu (University of Waterloo, 2017-08-14)
      Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and wrong business decisions. Poor data across businesses and the government cost the ...


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