E-LIB Suche - Ergebnisse für: Klettke, Meike

1

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/..

2

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..

3

A Generic Schema Evolution Approach for NoSQL and Relationa..:

Chillón, Alberto Hernández ; Klettke, Meike ; Ruiz, Diego Sevilla.
IEEE Transactions on Knowledge and Data Engineering. 36 (2024) 7 - p. 2774-2789 , 2024

Link: https://doi.org/10.1109/..

4

Model-based Integer Compression Schemes for In-Memory Query..:

Hildebrandt, Juliana , 2023

Link: https://nbn-resolving.de..

5

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..

6

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..

7

Federated search in epigraphic databases using EpiDoc:

Kaja Harter-Uibopuu ; Ralf Möller ; Sylvia Melzer..
url:https://www.fdr.uni-hamburg.de/record/11119. , 2023

Link: https://doi.org/10.25592..

8

Extracting JSON Schemas with Tagged Unions:

Klessinger, Stefan ; Klettke, Meike ; Störl, Uta.
http://arxiv.org/abs/2306.07085. , 2023

Link: http://arxiv.org/abs/230..

9

Provenance for Lattice QCD workflows:

Auge, Tanja ; Bali, Gunnar ; Klettke, Meike...
http://arxiv.org/abs/2303.12640. , 2023

Link: http://arxiv.org/abs/230..

10

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/..

11

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..

12

A Taxonomy of Schema Changes for NoSQL Databases:

Chillón, Alberto Hernández ; Klettke, Meike ; Ruiz, Diego Sevilla.
http://arxiv.org/abs/2205.11660. , 2022

Link: http://arxiv.org/abs/220..

13

Extracting JSON Schemas with Tagged Unions - Reproduction P..:

Klessinger, Stefan ; Klettke, Meike ; Störl, Uta.
https://github.com/sdbs-uni-p/schema-inference-repro. , 2022

Link: https://zenodo.org/recor..

14

Self-adapting data migration in the context of schema evolu..:

Hillenbrand, Andrea ; Störl, Uta ; Nabiyev, Shamil.
https://opus4.kobv.de/opus4-h-da/frontdoor/index/index/docId/366. , 2022

Link: https://opus4.kobv.de/op..

15

Self-adapting data migration in the context of schema evolu..:

Hillenbrand, Andrea ; Störl, Uta ; Nabiyev, Shamil.
Distributed and Parallel Databases. 40 (2021) 1 - p. 5-25 , 2021

Link: https://doi.org/10.1007/..