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Filtering by: Creator Goffard, Joseph William Remove constraint Creator: Goffard, Joseph William Contributor Davis, John Remove constraint Contributor: Davis, John Degree Level Master's Remove constraint Degree Level: Master's

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  • Relational Learning over Dirty Data Using Data Constraints

    Creator:
    Lee, Ga Young
    Abstract:
    Real-world datasets are dirty and contain many errors. Examples of these issues are violations of integrity constraints, duplicates, and inconsistencies in representing data values and entities. Applying machine learning on dirty databases may lead to inaccurate results. Users have to spend a lot of time and effort repairing data errors...
    Resource Type:
    Masters Thesis