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Time series clustering and classification
Financial indicators of an individual firm may be in the form of time series, vectors, or even richer data, such as text or images. The purpose of this work is to explore and develop methods for dealing with such data, and in particular perform the clustering/classification of such data into similar groups. In the project the intern will develop the tools that will allow to determine whether a client should be issued a loan or not.
Faculty Supervisor:
Rafal Kulik
Student:
Youssouph Cissokho
Partner:
ZetaTango Technology Inc
Discipline:
Mathematics
Sector:
Finance, insurance and business
University:
University of Ottawa
Program:
Accelerate
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