| Using link features for entity clustering in knowledge graphs A Saeedi, E Peukert, E Rahm The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete …, 2018 | 71 | 2018 |
| Comparative evaluation of distributed clustering schemes for multi-source entity resolution A Saeedi, E Peukert, E Rahm Advances in Databases and Information Systems: 21st European Conference …, 2017 | 56 | 2017 |
| Scalable matching and clustering of entities with FAMER A Saeedi, M Nentwig, E Peukert, E Rahm Complex Systems Informatics and Modeling Quarterly, 61-83, 2018 | 41 | 2018 |
| Incremental multi-source entity resolution for knowledge graph completion A Saeedi, E Peukert, E Rahm The Semantic Web: 17th International Conference, ESWC 2020, Heraklion, Crete …, 2020 | 15 | 2020 |
| Interactive Visualization of Large Similarity Graphs and Entity Resolution Clusters. MA Rostami, A Saeedi, E Peukert, E Rahm EDBT, 690-693, 2018 | 12 | 2018 |
| Knowledge graph completion with FAMER D Obraczka, A Saeedi, E Rahm Proc. DI2KG, 2019 | 8 | 2019 |
| Extended Affinity Propagation Clustering for Multi-source Entity Resolution S Lerm, A Saeedi, E Rahm BTW 2021, 2021 | 4 | 2021 |
| Matching Entities from Multiple Sources with Hierarchical Agglomerative Clustering. A Saeedi, L David, E Rahm KEOD, 40-50, 2021 | 3 | 2021 |
| A Distributed Hierarchical Clustering Algorithm for Multi-source Entity Resolution L David, A Saeedi, E Rahm Bachelor’s Thesis. University of Leipzig, 2021. uRl: https://dbs. uni …, 0 | 1 | |
| Clustering Approaches for Multi-source Entity Resolution A Saeedi | | 2021 |
| Big Data Integration for Industry 4.0 D Obraczka, A Saeedi, V Christen, E Rahm | | |
| BIG DATA INTEGRATION RESEARCH AT SCADS E Rahm, E Peukert, A Saeedi, M Gladbach | | |
Erhard RahmProfessor of Computer Science, University of LeipzigBestätigte E-Mail-Adresse bei informatik.uni-leipzig.de
