no code implementations • 9 Oct 2019 • Henri Tiittanen, Emilia Oikarinen, Andreas Henelius, Kai Puolamäki
Regression analysis is a standard supervised machine learning method used to model an outcome variable in terms of a set of predictor variables.
1 code implementation • 7 May 2019 • Kai Puolamäki, Emilia Oikarinen, Andreas Henelius
This paper proposes a principled framework for interactive visual exploration of relations in data, through views most informative given the user's current knowledge and objectives.
1 code implementation • 20 May 2018 • Kai Puolamäki, Emilia Oikarinen, Buse Atli, Andreas Henelius
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 the most informative and useful views of the data.
no code implementations • 9 Apr 2018 • Andreas Henelius, Emilia Oikarinen, Kai Puolamäki
This framework allows the user to incorporate existing knowledge into the exploration process, focus on exploring a subset of the data, and compare different complex hypotheses concerning relations in the data.
1 code implementation • 23 Oct 2017 • Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
We conclude that the information theoretic approach to exploratory data analysis where patterns observed by a user are formalized as constraints provides a principled, intuitive, and efficient basis for constructing an EDA system.
no code implementations • 12 Oct 2017 • Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie
The subgroup descriptions are in terms of a succinct set of arbitrarily-typed other attributes.
no code implementations • 20 Jan 2017 • Jussi Korpela, Emilia Oikarinen, Kai Puolamäki, Antti Ukkonen
In this paper we define confidence intervals for multivariate data that extend the one-dimensional definition in a natural way.
no code implementations • 19 Jul 2015 • Laura Koponen, Emilia Oikarinen, Tomi Janhunen, Laura Säilä
The supertree construction problem is about combining several phylogenetic trees with possibly conflicting information into a single tree that has all the leaves of the source trees as its leaves and the relationships between the leaves are as consistent with the source trees as possible.
no code implementations • 15 Jan 2014 • Tomi Janhunen, Emilia Oikarinen, Hans Tompits, Stefan Woltran
Practically all programming languages allow the programmer to split a program into several modules which brings along several advantages in software development.