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

2

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/..

3

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..

4

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..

5

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..

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..

7

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/..

8

Four Generations in Data Engineering for Data Science: The ..:

Klettke, Meike ; Störl, Uta
Datenbank-Spektrum. 22 (2021) 1 - p. 59-66 , 2021

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

9

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/..

10

Kurz erklärt: Measuring Data Changes in Data Engineering an..:

Klettke, Meike ; Lutsch, Adrian ; Störl, Uta
Datenbank-Spektrum. 21 (2021) 3 - p. 245-249 , 2021

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

11

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/..

12

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/..

13

BTW 2019 – Datenbanksysteme im Zeitalter der Künstlichen In..:

Heuer, Andreas ; Klettke, Meike ; Meyer, Holger
Datenbank-Spektrum. 19 (2019) 2 - p. 149-154 , 2019

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

14

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/..

15

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..