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Klettke, Meike
14  Ergebnisse:
Buchkapitel (Online) X
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1

Transparent Data Preprocessing for Machine Learning:

, In: Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics,
Strasser, Sebastian ; Klettke, Meike - p. 1-6 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Towards an End-to-End Data Quality Optimizer:

, In: 2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW),
Restat, Valerie ; Klettke, Meike ; Storl, Uta - p. 262-266 , 2024
Link: https://doi.org/10.1109/..
 
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3

EpiDoc Data Matching for Federated Information Retrieval in..:

, In: 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS),
Melzer, Sylvia ; Klettke, Meike ; Weise, Franziska.. - p. 1069-1074 , 2023
Link: https://doi.org/10.15439..
 
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4

Provenance for Lattice QCD workflows:

, In: Companion Proceedings of the ACM Web Conference 2023,
Auge, Tanja ; Bali, Gunnar ; Klettke, Meike... - p. 1524-1530 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

EvoBench: Benchmarking Schema Evolution in NoSQL:

, In: Lecture Notes in Computer Science; Performance Evaluation and Benchmarking,
Conrad, André ; Möller, Mark Lukas ; Kreiter, Tobias... - p. 33-49 , 2022
Link: https://doi.org/10.1007/..
 
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6

Metamodels to support database migration between heterogene..:

, In: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings,
Conrad, André ; Utzmann, Philipp ; Klettke, Meike. - p. 546-551 , 2022
Link: https://dl.acm.org/doi/1..
 
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7

Towards Self-Adapting Data Migration in the Context of Sche..:

, In: 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW),
Hillenbrand, Andrea ; Storl, Uta ; Levchenko, Maksym.. - p. 133-138 , 2020
Link: https://doi.org/10.1109/..
 
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8

Why It Is Time for Yet Another Schema Evolution Benchmark: ..:

, In: Advanced Information Systems Engineering; Lecture Notes in Business Information Processing,
Möller, Mark Lukas ; Scherzinger, Stefanie ; Klettke, Meike. - p. 113-125 , 2020
Link: https://doi.org/10.1007/..
 
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9

Query Rewriting for Continuously Evolving NoSQL Databases:

, In: Conceptual Modeling; Lecture Notes in Computer Science,
Möller, Mark Lukas ; Klettke, Meike ; Hillenbrand, Andrea. - p. 213-221 , 2019
Link: https://doi.org/10.1007/..
 
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10

Evolution Management of Multi-model Data: (Position Paper):

, In: Heterogeneous Data Management, Polystores, and Analytics for Healthcare; Lecture Notes in Computer Science,
Holubová, Irena ; Klettke, Meike ; Störl, Uta - p. 139-153 , 2019
Link: https://doi.org/10.1007/..
 
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11

MigCast : Putting a Price Tag on Data Model Evolution in..:

, In: Proceedings of the 2019 International Conference on Management of Data,
Hillenbrand, Andrea ; Levchenko, Maksym ; Störl, Uta.. - p. 1925-1928 , 2019
Link: https://dl.acm.org/doi/1..
 
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12

Datalution: a tool for continuous schema evolution in NoSQL..:

, In: Proceedings of the 2nd International Workshop on Quality-Aware DevOps,
Scherzinger, Stefanie ; Sombach, Stephanie ; Wiech, Katharina.. - p. 38-39 , 2016
Link: https://dl.acm.org/doi/1..
 
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13

A Datalog-based protocol for lazy data migration in agile N..:

, In: Proceedings of the 15th Symposium on Database Programming Languages,
Scherzinger, Stefanie ; Störl, Uta ; Klettke, Meike - p. 41-44 , 2015
Link: https://dl.acm.org/doi/1..
 
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14

Speicherung bibliographischer Metadaten in relationalen und..:

, In: Informatik 2017 / Maximilian Eibl, Martin Gaedke (Hrsg.)
Stephan, Robert ; Klettke, Meike. (2017)  - p. 1149-1160
Link: http://dx.doi.org/10.184..
 
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