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Communications of the ACM

Research Archive


Archives

The Research archive provides access to all Research articles published in past issues of Communications of the ACM.

August 2020


From Communications of the ACM

Technical Perspective: Entity Matching with Magellan

Magellan's key insight is that a successful entity matching system must offer a versatile system building paradigm for entity matching that can be easily adapted for different application needs.


From Communications of the ACM

Technical Perspective: Supporting Linear Algebra Operations in SQL

Do we need a completely new database system to support machine learning?


From Communications of the ACM

Scalable Linear Algebra on a Relational Database System

Scalable Linear Algebra on a Relational Database System

We show that by making just a few changes to a parallel/distributed relational database system, such a system can become a competitive platform for scalable linear algebra.


From Communications of the ACM

Magellan: Toward Building Ecosystems of Entity Matching Solutions

Magellan

Entity matching can be viewed as a special class of data science problems and thus can benefit from system building ideas in data science.