Hannes Heikinheimo

I'm a doctoral student and researcher working in Prof. Heikki Mannila's research group at the Helsinki University of Technology. My research interests include algorithms and applications for data mining with a special focus on frequent pattern mining, pattern selection and clustering.

Publications

• Hannes Heikinheimo, Jilles Vreeken, Arno Siebes and Heikki Mannila. Low-Entropy Set Selection. SIAM International Conference on Data Mining (SDM09), p. 569-580, 2009.
• Nikolaj Tatti and Hannes Heikinheimo. Decomposable Families of Itemsets. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2008), p. 472-487, 2008
• Gemma C. Garriga, Hannes Heikinheimo, and Jouni K. Seppänen. Cross-mining Binary and Numerical Attributes. IEEE International Conference on Data Mining (ICDM), p. 481-486, 2007.
• Hannes Heikinheimo, Eino Hinkkanen, Heikki Mannila, Taneli Mielikäinen, and Jouni K. Seppänen. Finding low-entropy sets and trees from binary data. In Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2007), p. 350-359.
• Hannes Heikinheimo, Mikael Fortelius, Jussi Eronen, and Heikki Mannila. Biogeography of European land mammals shows environmentally distinct and spatially coherent clusters. Journal of Biogeography, 34, 6, 1053-1064 (2007).
• Hannes Heikinheimo, Heikki Mannila, and Jouni K. Seppänen. Finding trees from unordered 0-1 data. 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2006), p. 175-186.
• Hannes Heikinheimo, Inferring taxonomic hierarchies from 0-1 data, Masters Thesis, Helsinki University of Technology, Laboratory of Information Processing Science, 2005

Contact information

Room: A341
Phone: +358 9 451 5389
E-mail: hannes.heikinheimotkk.fi

Helsinki University of Technology TKK
Department of Information and Computer Science
P.O. Box 5400, FI-02015 TKK, FINLAND