Big data & mixed-integer (nonlinear) programming

01/22/2016 - 16:00
Andrea Lodi, École Polytechnique (Montréal)
UQAM, Pavillon Président-Kennedy, 201, ave du Président-Kennedy, salle PK-5115

 In this talk I review a couple of applications on Big Data that I personally like and I try to explain my point of view as a Mathematical Optimizer -- especially concerned with discrete (integer) decisions -- on the subject.  I advocate a tight integration of Data Mining, Machine Learning and Mathematical Optimization (among others) to deal with the challenges of decision-making in Data Science.  Those challenges are the core of the mission of the Canada Excellence Research Chair in "Data Science for Real-time Decision Making” that I hold.

Last edited by on Fri, 01/22/2016 - 10:36