Alexandre Chanson

Here is my list of publications :

• A Chain Composite Item Recommender for Lifelong Pathways
• A Chanson, T Devogele, N Labroche, P Marcel, N Ringuet, V T’Kindt
• International Conference on Big Data Analytics and Knowledge Discovery, 2021, 55-66
• The Traveling Analyst Problem, Orienteering applied to exploratory data analysis
• Alexandre Chanson, Nicolas Labroche, Patrick Marcel, Vincent t'Kindt
• Congrès annuel de la ROADEF 2021
• Clustering sequences of multi-dimensional sets of semantic elements
• Clement Moreau, Alexandre Chanson, Verónika Peralta, Thomas Devogele, Cyril de Runz
• Proceedings of the 36th Annual ACM Symposium on Applied Computing, 2021
• The Traveling Analyst Problem: Definition and preliminary study
• Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel, Verónika Peralta, Stefano Rizzi, Panos Vassiliadis
• DOLAP 2020
• Learning Analysis Patterns using a Contextual Edit Distance
• Clement Moreau, Verónika Peralta, Patrick Marcel, Alexandre Chanson, Thomas Devogele
• DOLAP 2020
• Profiling User Belief in BI Exploration for Measuring Subjective Interestingness
• Alexandre Chanson, Ben Crulis, Krista Drushku, Nicolas Labroche, Patrick Marcel
• Proceedings of the 21st International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT Joint Conference (EDBT/ICDE 2019)
• User and Context Aware Composite Item Recommendation
• Krista Drushku, Alexandre Chanson, Ben Crulis, Nicolas Labroche, Patrick Marcel
• ComplexRec 2018 Second Workshop on Recommendation in Complex Scenarios@ RecSys 2018

Interests

My research interests include, OLAP systems, user centric approaches, query generation and recommendation, interestingness measures in OLAP databases. I'm also interested by one-pass clustering methods.

Ongoing Projects

• Cube Explorer a project to implement OLAP intentional operators
• Application of intentional operations to data journalism (presentation at a french workshop)
• Member of a french research group on Explainability

I'm a PhD student, at the University of Tours, France. I obtained a masters degree in Data Science from the same university in 2020. I'm currently studying automated data exploration formulated as a routing problem, this is a join work between the ROOT (ERL 7002) and BDTLN teams of LIFAT.

My main skills are: Data science and engineering, Software development (Java, Js, Python) and architecture, ETL/ELT processes, Data Warehouses design.
I'm also familiar with business intelligence software (cube design and reporting) as I have participated in research on those systems.

Don't hesitate to e-mail me if want an 'old fashion' resume.

E-mail : chanson at univ dash tours dot fr
LinkedIn Profile
ResearchGate
Github Profile

L2 - Architecture des ordinateurs - 2021
M1 - Data Mining - 2022