2011 |
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9 | Niko Vuokko and Petteri Kaski. Significance of patterns in time series collections. In SDM '11: Proceedings of the 11th SIAM International Conference on Data Mining, pages 676–686, 2011. |
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8 | Aleksi Kallio, Niko Vuokko, Markus Ojala, Niina Haiminen, and Heikki Mannila. Randomization techniques for assessing the significance of gene periodicity results. BMC Bioinformatics, 12(1):330, 2011. |
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2010 |
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7 | Jefrey Lijffijt, Panagiotis Papapetrou, Niko Vuokko, and Kai Puolamäki. The smallest set of constraints that explains the data: a randomization approach. Technical Report TKK-ICS-R31, Aalto University School of Science and Technology, Department of Information and Computer Science, May 2010. |
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6 | Niko Vuokko. Consecutive ones property and spectral ordering. In SDM '10: Proceedings of the 10th SIAM International Conference on Data Mining, pages 350–360, 2010. |
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5 | Niko Vuokko and Evimaria Terzi. Reconstructing randomized graphs. In SDM '10: Proceedings of the 10th SIAM International Conference on Data Mining, pages 49–59, 2010. |
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4 | Niko Vuokko and Petteri Kaski. Testing the significance of patterns in data with cluster structure. In ICDM '10: Proceedings of the 10th IEEE International Conference on Data Mining, pages 1097–1102, 2010. |
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2009 |
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3 | Markus 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, 2009. |
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2 | Sami 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 KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 379–388, 2009. |
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2008 |
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1 | Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, and Heikki Mannila. Randomization of real-valued matrices for assessing the significance of data mining results. In SDM '08: Proceedings of the Eighth SIAM International Conference on Data Mining, pages 494–505, 2008. |
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