Publications by Markus Ojala

2011

10Markus Ojala. Randomization Algorithms for Assessing the Significance of Data Mining Results. PhD thesis, Aalto University School of Science, Department of Information and Computer Science, November 2011.
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2010

9Markus Ojala. Assessing data mining results on matrices with randomization. In Proceedings of the 10th IEEE International Conference on Data Mining (ICDM '10), pages 959–964, December 2010.
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8Markus Ojala and Gemma Garriga. Permutation tests for studying classifier performance. Journal of Machine Learning Research, 11(Jun):1833–1863, June 2010.
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7Markus Ojala, Gemma Garriga, Aristides Gionis, and Heikki Mannila. Evaluating query result significance in databases via randomizations. In Proceedings of the 2010 SIAM International Conference on Data Mining (SDM '10), pages 906–917, April 2010.
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2009

6Markus Ojala and Gemma Garriga. Permutation tests for studying classifier performance. In Proceedings of the 9th IEEE International Conference on Data Mining (ICDM '09), pages 908–913, December 2009.
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5Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, and Heikki Mannila. Randomization methods for assessing data analysis results on real-valued matrices. Statistical Analysis and Data Mining, 2(4):209–230, November 2009.
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4Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, and Heikki Mannila. Tell me something I don't know: Randomization strategies for iterative data mining. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '09), pages 379–388, 2009.
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3Markus Ojala, Gemma Garriga, Aristides Gionis, and Heikki Mannila. Query significance in databases via randomizations, 2009. arXiv:0906.5485v1 [cs.DB].
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2008

2Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, and Heikki Mannila. Randomization of real-valued matrices for assessing the significance of data mining results. In Proceedings of the 2008 SIAM International Conference on Data Mining (SDM '08), pages 494–505, April 2008.
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1Markus Ojala. Randomization of real-valued matrices for assessing the significance of data mining results. Master's thesis, Helsinki University of Technology, Department of Information and Computer Science, February 2008.
Info
See www.cis.hut.fi ...