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Filtering by: Creator Fletcher, Richard S. Advisor Termehchy, Arash Committee Member Fern, Alan

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:

AN ABSTRACT OF THE THESIS OF Parisa S. Ataei for the degree
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:

outer relation R with an inner relation S as R ./ S. The outer relation R is scanned and for each tuple
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

Full Text:

IMDb data (h=hours, m=minutes, s=seconds). . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87