Defence of dissertation in the field of computer science, Jussi Korpela, M.Sc. (Tech.)
Revealing inner variation within sets of curves - high density bands provide new tools for time series analysis
Jussi Korpela, M.Sc. (Tech.) will defend the dissertation: "Exploring correlated data: confidence bands and projections of shared variation" on 15 March 2018 at 12 noon at the Aalto University School of Science. The dissertation studies methods to visualize the inner variation within a set of curves. In addition, the work presents a regression function -based method to reveal the variation that is shared by all members of a dataset collection.
Dissertation release (pdf, in Finnish)
Opponent: Professor Mykola Pechenizkiy, Eindhoven University of Technology, The Netherlands
Custos: Professor Kai Puolamäki, Aalto University School of Science, Department of Computer Science
Electronic dissertation: http://urn.fi/URN:ISBN:978-952-60-7855-7