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Filtering by: Creator Arakji, Omar Ahmed Remove constraint Creator: Arakji, Omar Ahmed Contributor Termehchy, Arash Remove constraint Contributor: Termehchy, Arash

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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