StreamSpan Project - 2024-2027

StreamSpan - Publications

Joint Publications

None yet - to come

Recent Related Publications by the groups

Revisiting Optimal Window Aggregation in Data Streams: The Prefix-Sum Approach, José Martinez, Guillaume Raschia, 33rd ACM International Conference on Information and Knowledge Management, 2024 DOI

Publications relevant to the project

Temporal Aggregation of Spanning Event Stream: An Extended Framework to Handle the Many Stream Models. A. Suzanne, G. Raschia, J. Martinez, R. Jaouen, F. Hervé, Trans. Large Scale Data Knowl. Centered Syst. 49: 1-32 (2021) DOI HAL

Slicing techniques for temporal aggregation in spanning event streams. A. Suzanne, G. Raschia, J. Martinez, D. Tassetti, Inf. Comput. 281: 104807 (2021) DOI HAL

Time sequence summarization to scale up chronology-dependent applications. Q.-K. Pham, G. Raschia, N. Mouaddib, R. Saint-Paul, B. Benatallah, CIKM 2009: 1137-1146 DOI HAL

Decision Support Query Processing of Spanning Event Streams. A. Suzanne (G. Raschia as co-supervisor), PhD Thesis Report, Nantes University, 2022 theses.fr

Targeting a light-weight and multi-channel approach for distributed stream processing. Vinu E V, Martin Theobald, Damien T, Samira C, Amal Tawakuli, J. Parallel Distributed Computing. 167: 77-96 (2022) DOI

AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing. Vinu E. V, Martin Theobald, Samira Chaychi, Amal Tawakuli, SBAC-PAD 2020: 51-58 DOI

TensAIR: Real-Time Training of Neural Networks from Data-streams. Mauro DL Tosi, Vinu E Venugopal, Martin Theobald, 8th International Conference on Machine Learning and Soft Computing, 2024. DOI