Scalable Matching and Clustering of Entities with FAMER
Entity resolution identifies semantically equivalent entities, e.g. describing the same product or customer. It is especially challenging for Big Data applications where large volumes of data from many sources have to be matched and integrated. We therefore introduce a scalable entity resolution fra...
| Hoofdauteurs: | , , , |
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| Formaat: | Artikel |
| Taal: | English |
| Gepubliceerd in: |
Riga Technical University
2018-10-01
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| Reeks: | Complex Systems Informatics and Modeling Quarterly |
| Onderwerpen: | |
| Online toegang: | https://csimq-journals.rtu.lv/article/view/2407 |