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Books and Theses
- 2022
[b1]Amal Tawakuli:
Transforming Data Preprocessing: a Holistic, Normalized and Distributed Approach. University of Luxembourg, 2022
Journal Articles
- 2023
- [j2]Amal Tawakuli
, Daniel Kaiser, Thomas Engel:
Experience: Differentiating Between Isolated and Sequence Missing Data. ACM J. Data Inf. Qual. 15(2): 18:1-18:15 (2023) - 2022
- [j1]Vinu Ellampallil Venugopal, Martin Theobald, Damien Tassetti, Samira Chaychi, Amal Tawakuli:
Targeting a light-weight and multi-channel approach for distributed stream processing. J. Parallel Distributed Comput. 167: 77-96 (2022)
Conference and Workshop Papers
- 2022
- [c5]Amal Tawakuli, Thomas Engel:
Towards Normalizing The Design Phase of Data Preprocessing Pipelines For IoT Data. IEEE Big Data 2022: 4589-4594 - [c4]Amal Tawakuli, Daniel Kaiser, Thomas Engel:
Transforming IoT Data Preprocessing: A Holistic, Normalized and Distributed Approach. SenSys 2022: 1083-1088 - [c3]Amal Tawakuli, Thomas Engel:
The Impact of Distributed Data Preprocessing on Automotive Data Streams. VTC Fall 2022: 1-3 - 2020
- [c2]Amal Tawakuli, Daniel Kaiser, Thomas Engel:
Synchronized Preprocessing of Sensor Data. IEEE BigData 2020: 3522-3531 - [c1]Vinu E. Venugopal, Martin Theobald, Samira Chaychi, Amal Tawakuli:
AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing. SBAC-PAD 2020: 51-58
Informal and Other Publications
- 2020
- [i1]Vinu E. Venugopal, Martin Theobald, Samira Chaychi, Amal Tawakuli:
AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing. CoRR abs/2001.00164 (2020)
Coauthor Index
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