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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