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Hanna Köpcke
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2020 – today
- 2024
- [j6]Marvin Hofer
, Daniel Obraczka
Construction of Knowledge Graphs: Current State and Challenges. Inf. 15(8): 509 (2024) - [c5]Jacob Pollack, Hanna Köpcke, Erhard Rahm:
Intermediate Fusion for Multimodal Product Matching. GvDB 2024: 91-97 - 2023
- [i2]Marvin Hofer, Daniel Obraczka, Alieh Saeedi, Hanna Köpcke, Erhard Rahm:
Construction of Knowledge Graphs: State and Challenges. CoRR abs/2302.11509 (2023)
2010 – 2019
- 2014
- [b1]Hanna Köpcke:
Object matching on real-world problems. University of Leipzig, 2014, pp. 1-183 - 2012
- [c4]Hanna Köpcke, Andreas Thor
Tailoring entity resolution for matching product offers. EDBT 2012: 545-550 - 2010
- [j5]Hanna Köpcke, Erhard Rahm
Frameworks for entity matching: A comparison. Data Knowl. Eng. 69(2): 197-210 (2010) - [j4]Hanna Köpcke, Andreas Thor
Learning-Based Approaches for Matching Web Data Entities. IEEE Internet Comput. 14(4): 23-31 (2010) - [j3]Hanna Köpcke, Andreas Thor
Evaluation of entity resolution approaches on real-world match problems. Proc. VLDB Endow. 3(1): 484-493 (2010) - [i1]Toralf Kirsten, Lars Kolb, Michael Hartung, Anika Groß, Hanna Köpcke, Erhard Rahm:
Data Partitioning for Parallel Entity Matching. CoRR abs/1006.5309 (2010)
2000 – 2009
- 2009
- [j2]Hanna Köpcke, Andreas Thor
Comparative evaluation of entity resolution approaches with FEVER. Proc. VLDB Endow. 2(2): 1574-1577 (2009) - 2008
- [c3]Hanna Köpcke, Erhard Rahm:
Training selection for tuning entity matching. QDB/MUD 2008: 3-12 - 2007
- [j1]Hanna Köpcke, Erhard Rahm:
Analyse von Zitierungshäufigkeiten für die Datenbankkonferenz BTW. Datenbank-Spektrum 7(20): 48- (2007) - 2004
- [c2]Katharina Morik, Hanna Köpcke:
Features for Learning Local Patterns in Time-Stamped Data. Local Pattern Detection 2004: 98-114 - [c1]Katharina Morik, Hanna Köpcke:
Analysing Customer Churn in Insurance Data - A Case Study. PKDD 2004: 325-336
Coauthor Index
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