I am currently Ph.D. student in computer science at Rennes 1 University since February 2015. This thesis, supervised by David Gross-Amblard, Thomas Guyet and André Happe initially had for title "Temporal data query language for sequential pattern mining". I mainly work on discriminant temporal pattern mining and I am interested in their interpretability. Since the pattern-based classification is a standard method to evaluate a discriminant pattern set, I am interested in the temporal pattern-based classification and its interpretability.
2012 - 2014: Computer Science Master's degree DECIM specialization (decision support and optimization), University of Caen.
Courses: Graphs, flows and deterministic optimization, Introduction to Data Mining, Stochastic optimization, Metaheuristics, Data mining and business areas, Planning and decision support, Agent and reasoning, Constraints and Advanced Data Mining.
- 2011 - 2012: Third year computer science engineering student, Polytech Nantes.
- 2009 - 2011: Second year in University, University of Caen
Internship and projects
2014 - 6 months: Internship at the GREYC laboratory, Design of a global data link constraint for itemsets mining.
Supervisors: Patrice Boizumault, Arnaud Lallouet et Samir Loudni.
Establishment of adapted data structures making it possible to apply filtering rules relating to the constraints specific to data mining on a set of Boolean variables expressed in constraint programming.
2013 - 2014: Annual project of the master second year, Solution enumeration algorithm for Horn and 2-SAT formulas in propositional logic.
Supervisor: Etienne Grandjean.
Understanding and implementing the linear or quasi-linear algorithms proposed in Johann Brault-Baron's Ph.D. thesis enumerating the solutions of Horn and Horn-renominable formulas.
2012 - 2013: Annual project of the master first year, Reconstruction of a polyomino.
Supervisor: Jean-jacques Hébrard.
Understanding and implementing an algorithm for reducing the reconstruction of hv-convex polyominos to a 2-SAT problem and then adapting it to enumerate all the polyominos of given perimeters in order to study their properties.
2015 - 2017: Imperative Programming 2, Teaching of imperative programming notions through the JAVA language. Students in second year of computer science at Rennes 1 University.
Lead professor: Alexandre Termier.
Lab project drafting. 60 hours as lab assistant (3 student groups) and 4 hours as tutorials assistant.
2015 - 2017: Database and Decision-Making 1, Lessons of Business Intelligence notions through Business Objects tools. Students in first year of MIAGE master. Rennes 1 University.
Lead professor: David Gross-Amblard.
30 hours as lab assistant (5 student groups).
2016 - 2017: Database and Decision-making 2, Teaching of MapReduce notions and practice through the uses of Hadoop and PigLatin. Students in first year of MIAGE master. Rennes 1 University.
Lead professor: David Gross-Amblard.
4 hours as lab assistant and 2 hours as tutorials assistant.
2015 - 2016: Operating systems organization 1, Teachings of Internet protocols concepts. Students in third year of computer science at Rennes 1 University.
Lead professor: Adlen Ksentini.
8 hours as lab assistant and 4 hours as tutorials assistant.
C. Gautrais, Y. Dauxais, and M. Guillemé, “Multi-Plant Photovoltaic Energy Forecasting Challenge: Second Place Solution,” in ECML PKDD Discovery Challenges, 2017. [PDF]
Y. Dauxais, D. Gross-Amblard, T. Guyet, and A. Happe, “Discriminant chronicles mining. Application to care pathways analytics,” in AIME, 2017. [PDF]
T. Guyet, A. Happe, and Y. Dauxais, “Declarative sequential pattern mining of care pathways,” in AIME, 2017. [PDF]
Y. Dauxais, D. Gross-Amblard, T. Guyet, and A. Happe, “Extraction de chroniques discriminantes,” in EGC, 2017. [PDF]
Y. Dauxais, D. Gross-Amblard, T. Guyet, and A. Happe, “Chronicles mining in a database of drugs exposures,” in ECML Doctoral consortium, 2015. [PDF]
V. Lemière, Y. Dauxais, P. Boizumault, and A. Lallouet, “Mining frequent patterns using CP: a comparative study,” in CP Doctoral program, 2016.
F. Balusson et al., “PEPS: a platform for supporting studies in pharmaco-epidemiology using medico-administrative databases,” in International Congress on e-Health Research, 2016.