Algorithmic Data Analysis Centre-of-Excellence (Algodan)
The research of the Algodan CoE lies in the algorithmic and modeling problems of combinatorial pattern matching, data mining, and machine learning. The work in Algodan is strongly interdisciplinary: we cooperate constantly with application experts in various application areas, formulating novel computational concepts and ways of attacking the scientific and industrial problems of the application areas. Developing new concepts and algorithms is an iterative process consisting of interacting extensively with the application experts, formulating computational concepts, analyzing the properties of the concepts, designing algorithms and analyzing their performance, implementing and experimenting with the algorithms, and applying the results in practice. The main application areas of the Algodan CoE are in biology, medicine, telecommunications, environmental studies, linguistics, and neuroscience.
Contact person: Professor Esko Ukkonen, Academy Professor Heikki Mannila
Algodan's research groups:
- Combinatorial Pattern Matching and sub-groups Computer-Assisted Music Analysis Comparison and Retrieval and Theory and Practice of Succint Data Structures
- Data Mining: Theory and Applications (also at TKK)
- Discovery group: Data Mining for Pattern and Link Discovery
- Doremi
- Machine Learning and its sub-group Computational Systems Biology and Bioinformatics
- Neuroinformatics