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Filtering by: Creator Korn, Abraham Remove constraint Creator: Korn, Abraham Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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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

  • Understanding and supporting end-user debugging strategies

    Creator:
    Grigoreanu, Valentina I.
    Abstract:
    End users' programs are fraught with errors, costing companies millions of dollars. One reason may be that researchers and tool designers have not yet focused on end-user debugging strategies. To investigate this possibility, this dissertation presents eight empirical studies and a new strategy-based end-user debugging tool for Excel, called StratCel....
    Resource Type:
    Dissertation
    Full Text:
    work on tools for end-user debugging to fill this need (e.g., [Abraham and Erwig 2007; Ayalew and