Hi, I am Yann Dauxais.
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 has for title "Temporal data query language for sequential pattern mining".
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.
Y. Dauxais, D. Gross-Amblard, T. Guyet, and A. Happe, “Discriminant chronicles mining. Application to care pathways analytics,” in AIME, 2017.
T. Guyet, A. Happe, and Y. Dauxais, “Declarative sequential pattern mining of care pathways,” in AIME, 2017.
Y. Dauxais, D. Gross-Amblard, T. Guyet, and A. Happe, “Extraction de chroniques discriminantes,” in EGC, 2017.
Y. Dauxais, D. Gross-Amblard, T. Guyet, and A. Happe, “Chronicles mining in a database of drugs exposures,” in ECML Doctoral consortium, 2015.
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.