Hochschulschrift
Learning Expressive Linkage Rules for Entity Matching using Genetic Programming
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Mannheim, Universität Mannheim, Diss., 2013
- Keyword
-
Datenintegration ; Datenverknüpfung ; Evolutionärer Algorithmus ; Genetische Programmierung
- Event
-
Veröffentlichung
- (where)
-
Mannheim
- (who)
-
Universitätsbibliothek Mannheim
- (when)
-
2013
- Creator
- Contributor
-
Bizer, Christian
- URN
-
urn:nbn:de:bsz:180-madoc-334182
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:44 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Isele, Robert
- Bizer, Christian
- Universitätsbibliothek Mannheim
Time of origin
- 2013
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Training Selection for Tuning Entity Matching
Dual-objective fine-tuning of BERT for entity matching
Applications of matching theory in constraint programming
Effective awk programming : [text processing & pattern matching]
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Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together
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Expressive Papierarbeit
Learning expressive linkage rules for entity matching using genetic programming
Data matching : concepts and techniques for record linkage, entity resolution, and duplicate detection
Entity linkage for heterogeneous, uncertain, and volatile data
Training Selection for Tuning Entity Matching
Dual-objective fine-tuning of BERT for entity matching
Applications of matching theory in constraint programming
Effective awk programming : [text processing & pattern matching]
Entity Matching Meets Data Science: A Progress Report from the Magellan Project
Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together
Entity matching with similarity encoding: a supervised learning recommendation framework for linking (big) data
Entity matching with similarity encoding: A supervised learning recommendation framework for linking (big) data