Algodan
Finnish Centre of Excellence for Algorithmic Data Analysis Research

Algodan Centre of Excellence develops new concepts, algorithms, principles, and frameworks for data analysis. The work combines basic research in computer science with interdisciplinary work in a wide variety of scientific disciplines and industrial problems. The main application areas of the Algodan are in biology, medicine, telecommunications, environmental studies, linguistics, and neuroscience.

Algodan is a joint research unit of University of Helsinki, Department of Computer Science and Aalto University, Department of Information and Computer Science. The Academy of Finland funds Algodan for the period 2008-2013. Algodan continues the work of the From Data to Knowledge (FDK) Centre-of-Excellence (2002-2007).

News and events

See also events at University of Helsinki, Aalto University and HIIT.

Information

Research themes

Highlights

Publications and statistics

Software library

Research teams

Combinatorial Pattern Matching

  • Combinatorial Pattern Matching Algorithms and Applications - prof. Esko Ukkonen
  • Succinct Data Structures - prof. Veli Mäkinen
  • Practical Algorithms on Strings - dr. Juha Kärkkäinen
  • Computational Geometry - dr. Valentin Polishchuk
  • C-BRAHMS - dr. Kjell Lemström
  • DOMILA - dr. Roman Yangarber

Data Mining: Theory and Applications

  • Data Mining - prof. Heikki Mannila
  • Parsimonious Modelling - dr. Jaakko Hollmén
  • Combinatorics, Algebra, and Computing - dr. Mikko Koivisto and dr. Petteri Kaski
  • Phenomics - prof. Heikki Mannila and dr. Mikko Koivisto

Machine Learning

  • Machine Learning - prof. Jyrki Kivinen
  • Kernel Machines, Pattern Analysis and Computational Biology - prof. Juho Rousu

Neuroinformatics

  • prof. Aapo Hyvärinen and dr. Patrik Hoyer

Pattern and Link Discovery

  • prof. Hannu Toivonen

Home institutions and affiliated groups

University of Helsinki
Department of Computer Science

Algodan home institution

Aalto University
Department of Information and Computer Science

Algodan home institution

HIIT

Helsinki Institute for Information Technology is one of the most important research partners of Algodan.

DiNS - Discovering Network Structures

DiNS is a research collaboration between several prominent researchers at Algodan / HIIT.