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Filtering by: Creator Steig, Eric J. Remove constraint Creator: Steig, Eric J. Contributor Termehchy, Arash Remove constraint Contributor: Termehchy, Arash

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  • Improving the Effectiveness of Answering Keyword Queries Using Effective Subsets

    Creator:
    Khodadadi, Abtin
    Abstract:
    Most database users do not know formal query languages, such as SQL, and prefer to express their information needs using usable query languages, such as keyword queries. Keyword queries, however, are inherently ambiguous and challenging for the database systems to understand and answer effectively. We propose a novel approach to...
    Resource Type:
    Capstone Project
    Full Text:
    , Josiane Mothe, Michael Preminger, Eric SanJuan, Ralf Schenkel, Mette Skov, Xavier Tannier, and David Walsh

  • Principles of Variational Databases

    Creator:
    Ataei, Parisa S.
    Abstract:
    Data variations are prevalent in real-world applications. For example, software vendors have to handle numerous variations in the business requirements, conventions, and environmental settings of a software product. In database-backed software, the database of each version may have a different schema and content. As another example, data scientists often need...
    Resource Type:
    Masters Thesis
    Full Text:
    . Eric Walkingshaw, for all his constructive feedback and encouragement. Thank you for awakening my

  • 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
    Full Text:
    Dj , respectively, 1 ≤ i ≤ n, and 1 ≤ j ≤ m. Operation ≈d is a similarity operator defined over