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I'm a former PhD student of Prof. Heikki Mannila. In
January 2010 I defended my doctoral thesis titled "Extending data mining
techniques for frequent pattern discovery: trees, low-entorpy sets, and
crossmining". The thesis deals with algorithms and applications for data
mining with a
special focus on frequent pattern mining, pattern selection and
clustering. Currently I'm working in the industry.
Publications
Theory and foundations of data mining
- 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. Seppanen. Cross-mining Binary and Numerical Attributes. IEEE International Conference on Data Mining (ICDM), p. 481-486, 2007.
- Hannes Heikinheimo, Eino Hinkkanen, Heikki Mannila, Taneli
Mielikainen,
and Jouni K. Seppanen. 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, Heikki Mannila, and Jouni K. Seppanen. Finding trees from unordered 0-1 data. 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2006), p. 175-186.
Applications of data mining
- Hannes Heikinheimo, Mikael Fortelius, Jussi Eronen, and Heikki
Mannila. Clustering
should not be compared by visual inspection: response to Gagne &
Proulx. Journal of Biogeography, 36, 3, 563-565 (2008).
- 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).
Theses
- Hannes Heikinheimo, Extending Data
Mining Techniques for Frequent Pattern Discovery: Trees, Low-Entropy Sets,
and Crossmining, Doctor's Thesis, Aalto University School of Science
and Technology, Department of Information and Computer Science, 2010
- Hannes Heikinheimo, Inferring
taxonomic hierarchies from 0-1 data, Master's Thesis, Helsinki
University of Technology, Laboratory of
Information Processing Science, 2005
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gmail dot com