The Algorithmic Data Analysis (Algodan) Centre of Excellence develops new concepts, algorithms, principles, and frameworks for data analysis. The work combines strong basic research in computer science with interdisciplinary work in a wide variety of scientific disciplines and industrial problems.
The research of the Algodan CoE lies in the areas 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.
Algodan continues the work of the From Data to Knowledge (FDK) Centre-of-Excellence (2002-2007).
The Academy of Finland made a decision on 12 December 2006 to fund Algodan for the period 2008-2013.
Helsinki Univesity of Technology Dr. Jaakko Hollmén Dr. Aristides Gionis |
Laboratory of Computer and
Information Science,
Helsinki University of Technology