Human-guided data analysis - Ihmisen ohjaama tiedonhaku

  • Oikarinen, Emilia (Project Member)
  • Atli, Buse (Project Member)

Project Details

Description

The current methods and processes of data analysis give the knowledge workers, who are rarely experts in data analysis, only a limited means to explore large heterogeneous data sets. We further develop and study the recently introduced formulation of the explorative data analysis task in terms of statistical significance testing and constraints to null hypothesis to develop novel methods of data analysis that are optimised for the use with humans and that can be controlled by the humans. The project has two use cases that are used to demonstrate the methods, namely analysis of scientific data sets collected at the Finnish Institute of Occupational Health and a prototype system by which medical doctors to analyse and study patient data.
Short titleHGDA/Puolamäki
StatusFinished
Effective start/end date01/01/201831/08/2018