Discovery - Data Mining and Computational Creativity

The Discovery research group develops novel methods and tools for data mining and computational creativity. Our focus is on algorithmic methods for discovering links and patterns in data and on their use in creative systems.

Data mining and graph mining.  Methodologically, we focus on analysis and exploration methods for text documents and weighted graphs. We identify relevant computational problems, develop new concepts and algorithms, and apply them. See our Publications page for scientific results in the area.

Computational creativity.  A more recent focus area is computational creativity, interesting on its own right but also as an application area for data mining methods. We work on verbal creativity, i.e., computational poetry and humour, and also on automatic composition of music. We are developing novel methods that minimize the need for manually coded or language-specific knowledge. See our Publications and Art pages for scientific and artistic results.

The group works jointly under the Department of Computer Science at University of Helsinki, and The Helsinki Institute for Information Technology (HIIT). We constitute a part of Algodan (Algorithmic Data Analysis), a national Centre of Excellence in research.

See the Discovery Group home page for more information.


Last updated on 20 Dec 2015 by Hannu Toivonen - Page created on 31 Jan 2007 by Teemu Mäntylä