Description
Research Collaboration: Automatic Data Pre-processing
This collaboration aims at providing and developing "user friendly" environments for performing data analysis.
The problem of data analysis is tackled from a novice user perspective. Hence, we are exploring different methods for enabling user assistance. In particular, we are focusing on how to extend the meta-learning approach to be useful in more steps of the data analysis. We are working on the idea of enabling data pre-processing support through initially perfroming meta-learning.
Goals
- Increasing the predictive accuracy of meta learners.
- Studying the impact of different metadata in meta learning.
- Performing meta-feature extraction/selection.
- Using meta-learning to derive rules for performing data pre-processing.
- Improving the predictive accuracy of base learners.
Related publications
2023 |
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Alberto Abelló, Panos Vassiliadis, Oscar Romero, Robert Wrembel: Advances in Databases and Information Systems - 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4-7, 2023, Proceedings ADBIS 2023 |
Alberto Abelló, Panos Vassiliadis, Oscar Romero, Robert Wrembel, Francesca Bugiotti, Johann Gamper, Genoveva Vargas-Solar, Ester Zumpano: New Trends in Database and Information Systems - ADBIS 2023 Short Papers, Doctoral Consortium and Workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4-7, 2023, Proceedings ADBIS (Short Papers) 2023 |
2020 |
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Oscar Romero, Robert Wrembel, Il-Yeol Song: An Alternative View on Data Processing Pipelines from the DOLAP 2019 Perspective. Inf. Syst. 2020 |
Ladjel Bellatreche, Mária Bieliková, Omar Boussaïd, Barbara Catania, Jérôme Darmont, Elena Demidova, Fabien Duchateau, Mark M. Hall, Tanja Mercun, Boris Novikov, Christos Papatheodorou, Thomas Risse, Oscar Romero, Lucile Sautot, Guilaine Talens, Robert Wrembel, Maja Zumer: ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium - International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Lyon, France, August 25-27, 2020, Proceedings ADBIS/TPDL/EDA Workshops 2020 |
Oscar Romero, Robert Wrembel: Data Engineering for Data Science: Two Sides of the Same Coin. DaWaK 2020 |
2019 |
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Besim Bilalli, Alberto Abelló, Tomàs Aluja-Banet, Robert Wrembel: PRESISTANT: Learning based assistant for data pre-processing. Data Knowl. Eng. 2019 |
Robert Wrembel, Alberto Abelló, Il-Yeol Song: DOLAP data warehouse research over two decades: Trends and challenges. Inf. Syst. 2019 |
Il-Yeol Song, Oscar Romero, Robert Wrembel: Proceedings of the 21st International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data, co-located with EDBT/ICDT Joint Conference, DOLAP@EDBT/ICDT 2019, Lisbon, Portugal, March 26, 2019. DOLAP 2019 |
Il-Yeol Song, Oscar Romero, Robert Wrembel: Proceedings of the 21st International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data, co-located with EDBT/ICDT Joint Conference, DOLAP@EDBT/ICDT 2019, Lisbon, Portugal, March 26, 2019. DOLAP 2019 |
2018 |
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Besim Bilalli, Alberto Abelló, Tomàs Aluja-Banet, Robert Wrembel: Intelligent assistance for data pre-processing. Comput. Stand. Interfaces 2018 |
Besim Bilalli, Alberto Abelló, Tomàs Aluja-Banet, Rana Faisal Munir, Robert Wrembel: PRESISTANT: Data Pre-processing Assistant. CAiSE Forum 2018 |
Besim Bilalli, Alberto Abelló, Tomàs Aluja-Banet, Robert Wrembel: PRESISTANT: Learning based assistant for data pre-processing. CoRR 2018 |
Il-Yeol Song, Alberto Abelló, Robert Wrembel: Proceedings of the 20th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with 10th EDBT/ICDT Joint Conference (EDBT/ICDT 2018), Vienna, Austria, March 26-29, 2018. DOLAP 2018 |
Il-Yeol Song, Alberto Abelló, Robert Wrembel: Proceedings of the 20th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with 10th EDBT/ICDT Joint Conference (EDBT/ICDT 2018), Vienna, Austria, March 26-29, 2018. DOLAP 2018 |