Dr Markus Ojala
In 2007-2011, I worked as a researcher under supervision of Professor Heikki Mannila in Data Mining Group at Department of Information and Computer Science of Aalto University School of Science. In November 2011, I defended my PhD thesis titled Randomization Algorithms for Assessing the Significance of Data Mining Results.
I am currently working in industry. For more information, see my .
Publications
- Markus Ojala:
Randomization Algorithms for Assessing the Significance of Data Mining Results.
Doctoral dissertation, Aalto University School of Science, Department of Information and Computer Science, Finland, 2011.
Additional material: Lectio praecursoria, Press release (both in Finnish)
- Aleksi Kallio, Niko Vuokko, Markus Ojala, Niina Haiminen, Heikki Mannila:
Randomization techniques for assessing the significance of gene periodicity results.
In BMC Bioinformatics, 12(1):330, 2011.
Additional material: Datasets and implementations
- Markus Ojala:
Assessing Data Mining Results on Matrices with Randomization.
In ICDM'10: Proceeding of the 10th IEEE International Conference on Data Mining, pp. 959-964.
Additional material: Slides, Datasets and implementations
- Markus Ojala, Gemma Garriga:
Permutation Tests for Studying Classifier Performance.
In Journal of Machine Learning Research, JMLR 11(Jun):1833-1863, 2010.
- Markus Ojala, Gemma Garriga, Aristides Gionis, Heikki Mannila:
Evaluating Query Result Significance in Databases via Randomizations.
In SDM'10: Proceedings of the 2010 SIAM International Conference on Data Mining, pp. 906-917.
Additional material: Slides
- Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila:
Randomization Methods for Assessing Data Analysis Results on Real-Valued Matrices.
In Statistical Analysis and Data Mining, 2(4):209-230, 2009.
Additional material: Datasets and implementations
- Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila:
Tell Me Something I Don't Know: Randomization Strategies for Iterative Data Mining.
In KDD'09: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 379-388.
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Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila:
Randomization of real-valued matrices for assessing the significance of data mining results.
In SDM'08: Proceedings of the 2008 SIAM International Conference on Data Mining, pp. 494-505.
Additional material: Poster in A4 size, Two slides
- Markus Ojala:
Randomization of real-valued matrices for assessing the significance of data mining results.
Master's thesis, Helsinki University of Technology, Finland, Feb. 2008.
Additional material: Presentation, Related special assignment
Activities
I was the course assistant of T-61.5060 Algorithmic Methods of Data Mining in 2010.
I organized the Nordic Collegiate Programming Contest at TKK in 2009 and 2010. It is a subregional contest of the ACM-ICPC International Collegiate Programming Contest.
Contact information
Email: first.last@aalto.fi
Page maintained by Markus.Ojala at tkk.fi,
last updated Sunday, 27-Nov-2011 19:29:48 EET