31 citations · 43 across the 10 of their papers we have counts for
3 papers · 1 filter
Randomisation Algorithms for Large Sparse Matrices
Kai Puolamäki, Andreas Henelius, Antti Ukkonen
In many domains it is necessary to generate surrogate networks, e.g., for hypothesis testing of different properties of a network. Furthermore, generating surrogate networks typica…
Human-guided data exploration using randomisation
Kai Puolamäki, Emilia Oikarinen, Buse Atli +1
An explorative data analysis system should be aware of what the user already knows and what the user wants to know of the data: otherwise the system cannot provide the user with th…
Human-Guided Data Exploration
Andreas Henelius, Emilia Oikarinen, Kai Puolamäki
The outcome of the explorative data analysis (EDA) phase is vital for successful data analysis. EDA is more effective when the user interacts with the system used to carry out the…