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Neue Publikationen
Privacy-Preserving Stress Detection Using Smartwatch Health Data
Privacy-Preserving Sentiment Analysis on Twitter
Using Differential Equation Inspired Machine Learning for Valve Faults Prediction
Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference
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A. Saeedi's Publikationen (11)
Hofer, M.
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Obraczka, D.
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Saeedi, A.
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Köpcke, H.
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Rahm, E.
Construction of Knowledge Graphs: State and Challenges
2023-02
Obraczka, Daniel
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Saeedi, Alieh
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Christen, Victor
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Rahm, Erhard
Big Data Integration for Industry 4.0
Digital Transformation
2022
Saeedi, A.
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David, L.
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Rahm, E.
Matching Entities from Multiple Sources with Hierarchical Agglomerative Clustering
KEOD 2021
2021-10
Lerm, S.
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Saeedi, A.
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Rahm, E.
Extended Affinity Propagation Clustering for Multi-source Entity Resolution
BTW 2021
2021-03
Saeedi, Alieh
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Peukert, Eric
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Rahm, Erhard
Incremental Multi-source Entity Resolution for Knowledge Graph Completion
Proc. ESWC
2020-06
Obraczka, D.
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Saeedi, A.
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Rahm, E.
Knowledge Graph Completion with FAMER
Proc. KDD workshop on Data Integration to Knowledge Graphs (DI2KG) (DI2KG Challenge Winner)
2019-08
Saeedi, Alieh
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Nentwig, Markus
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Peukert, Eric
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Rahm, Erhard
Scalable Matching and Clustering of Entities with FAMER
Complex Systems Informatics and Modeling Quarterly (CSIMQ), Issue 16, Sep./Oct. 2018, pp 61–83
2018-11
Saeedi, Alieh
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Peukert, Eric
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Rahm, Erhard
Using Link Features for Entity Clustering in Knowledge Graphs
Proc. ESWC 2018 (Best research paper award)
2018-06
Rostami, M. Ali
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Saeedi, Alieh
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Peukert, Eric
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Rahm, Erhard
Interactive Visualization of Large Similarity Graphs and Entity Resolution Clusters
Proc. EDBT 2018
2018-03
Saeedi, Alieh
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Peukert, Eric
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Rahm, Erhard
Comparative Evaluation of Distributed Clustering Schemes for Multi-source Entity Resolution
Proc. ADBIS, LNCS 10509, pp 278-293
2017-09