Alexandre Chanson, Thomas Devogele, Nicolas Labroche, Patrick Marcel, Nicolas Ringuet, Vincent T'kindt, "A Chain Composite Item Recommender for Lifelong Pathways." In the proceedings of Big Data Analytics and Knowledge Discovery - 23rd International Conference, DaWaK 2021, Virtual Event, September 27-30, 2021, Proceedings, 2021.
Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, Ver{\'{o}}nika Peralta, Stefano Rizzi, Panos Vassiliadis, "The Traveling Analyst Problem: Definition and Preliminary Study." In the proceedings of Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference, DOLAP@EDBT/ICDT 2020, Copenhagen, Denmark, March 30, 2020, 2020.
Cl{\'{e}}ment Moreau, Ver{\'{o}}nika Peralta, Patrick Marcel, Alexandre Chanson, Thomas Devogele, "Learning Analysis Patterns using a Contextual Edit Distance." In the proceedings of Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference, DOLAP@EDBT/ICDT 2020, Copenhagen, Denmark, March 30, 2020, 2020.
Alexandre Chanson, Ben Crulis, Krista Drushku, Nicolas Labroche, Patrick Marcel, "Profiling User Belief in BI Exploration for Measuring Subjective Interestingness." In the proceedings of 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, 2019.
Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, "A Subjective Interestingness measure for Business Intelligence explorations." CoRR, 2019.
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