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