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.
  

  • Preliminary version: Permutation Tests for Studying Classifier Performance.
    In ICDM'09: Proceedings of the 9th IEEE International Conference on Data Mining, pp. 908-913.
    Additional material: Slides

• 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

  • Preliminary version: Query Significance in Databases via Randomizations.
    In CoRR abs/0906.5485, 2009.
    

• 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.
• 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