A key step in data integration is entity consolidation. It takes a collection of clusters of duplicate records as input and produces a single “golden record” ...

A key step in data integration is entity consolidation. It takes a collection of clusters of duplicate records as input and produces a single "golden record" ...

We introduce the DSL in Section IV and give our unsupervised string transformation learning algorithm, along with optimiza- tion techniques, in Section V. The ...

Unsupervised String Transformation. Learning for Entity Consolidation. Dong ... • A big issue in data integration and entity consolidation. • Largely done ...

In this paper, we adopt a standard ER framework [5, 14, 15] employing a matching function for determining the matching records that form entity clusters and ...

Title, Unsupervised String Transformation Learning for Entity Consolidation. Publication Type, Conference Paper. Year of Publication, 2019.

Data integration has been a long-standing challenge in data management with many applications. A key step in data integration is entity consolidation.

In 35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, China, April 8-11, 2019, pages 196–207, 2019. IEEE. Unsupervised String ...

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Dec 4, 2024 · Unsupervised String Transformation Learning for Entity Consolidation. ICDE 2019: 196-207 ... Entity Consolidation: The Golden Record Problem.