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Filtering by: Creator Hernandez-Rocha, Cristian Committee Member Tadepalli, Prasad Subject Machine learning

Representationally Robust and Scalable Learning over Relational Databases

Creator:

Picado Leiva, Jose Manuel

Abstract:

Learning novel concepts from relational databases is an important problem with applications in several disciplines, such as data management, natural language processing, and bioinformatics. For a learning algorithm to be effective, the input data should be clean and in some desired representation. However, real-world data is usually heterogeneous – the...

Resource Type:

Dissertation