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Filtering by: Creator Vergara, Hector A. Remove constraint Creator: Vergara, Hector A. Contributor advisor sim Termehchy, Arash Remove constraint Contributor advisor sim: Termehchy, Arash Contributor Ghadakchi, Vahid Remove constraint Contributor: Ghadakchi, Vahid

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  • Collaborative Online Learning For Join Processing

    Creator:
    Xie, Mian
    Abstract:
    Relational binary operators, such as join, are arguably the most costly and frequently used operations in relational data systems. In many join algorithms, the majority of the process time is spent on scanning and attempting to join the parts of the relations that do not satisfy the join condition and...
    Resource Type:
    Capstone Project
    Full Text:
    A PROJECT submitted to Oregon State University in partial fulfillment of the requirements for the

  • Learning to Estimate Multi-Relation Aggregation Functions

    Creator:
    Jadhav, Rashmi Suresh
    Abstract:
    Multi-relation aggregation queries process the join operator before computing the aggregation function. This join is arguably the most costly operation since traditional join algorithms spend majority of their time trying to join the parts of the relations that do not generate any output tuples. This causes slow response times with...
    Resource Type:
    Masters Thesis
    Full Text:
    -Relation Aggregation Functions by Rashmi Suresh Jadhav A THESIS submitted to Oregon State University