The goal of this research is to use data from casino player tracking systems to build a model for how players move around on a casino slot floor. We will use this model to perform simulations of this same movement. Segmentation of players into groups of similar value and/or characteristics will help to reduce the computation complexity of this task. Therefore, the student will also aim to devise a method of player segmentation. Development of this simulation software will be valuable as it will allow casino operators to test out changes for viability before making them, understand the impact of major renovations, and to rearrange the slot floor for optimize player traffic flow.
nQube Data Science Inc.
Statistics / Actuarial sciences
University of Manitoba
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