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Filtering by: Creator Fernández Sánchez, José Luis Advisor Termehchy, Arash

Usable and Scalable Querying of Scientific Datasets

Creator:

McCamish, Benjamin J.

Abstract:

Scientists and engineers have to analyze and query multiple large databases. Analysis over databases created by phasor measurement units can provide insight into the health of the grid, thereby improving control over operations. Realizing this data-driven control, however, requires validating, processing and storing massive amounts of PMU data efficiently, which...

Resource Type:

Dissertation

Full Text:

-Sanchez Scientists and engineers have to analyze and query multiple large databases. Analy- sis over
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:

AN ABSTRACT OF THE DISSERTATION OF Jose Manuel Picado Leiva
Redesigning the Structure and Access Paths of Databases for Effective and Efficient Query Processing

Creator:

Ghadakchi, Vahid

Abstract:

Many database users are not familiar with formal query languages, the concept of schema, or the exact content of their database. Thus, it is challenging for these users to formulate their information needs over semi-structured and structured databases. To address this problem, researchers have proposed usable query interfaces over which...

Resource Type:

Dissertation

Full Text:

particular Jose Picado from whom I learned a lot. I would also like to acknowledge OSU’s Engineering IT