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Filtern nach: Contributor Ghadakchi, Vahid Degree Name Master of Science (M.S.)

Collaborative Online Learning For Join Processing

Schöpfer:

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
Learning to Estimate Multi-Relation Aggregation Functions

Schöpfer:

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
Improving the Effectiveness of Answering Keyword Queries Using Effective Subsets

Schöpfer:

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