Mining statistically significant sequential patterns
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, Conference
Low-Kam, C; Raïssi, C; Kaytoue, M; Pei, J
Published in: Proceedings - IEEE International Conference on Data Mining, ICDM
December 1, 2013
Recent developments in the frequent pattern mining framework uses additional measures of interest to reduce the set of discovered patterns. We introduce a rigorous and efficient approach to mine statistically significant, unexpected patterns in sequences of item sets. The proposed methodology is based on a null model for sequences and on a multiple testing procedure to extract patterns of interest. Experiments on sequences of replays of a video game demonstrate the scalability and the efficiency of the method to discover unexpected game strategies. © 2013 IEEE.
Duke Scholars
Published In
Proceedings - IEEE International Conference on Data Mining, ICDM
DOI
ISSN
1550-4786
Publication Date
December 1, 2013
Start / End Page
488 / 497
Citation
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Low-Kam, C., Raïssi, C., Kaytoue, M., & Pei, J. (2013). Mining statistically significant sequential patterns. In Proceedings - IEEE International Conference on Data Mining, ICDM (pp. 488–497). https://doi.org/10.1109/ICDM.2013.124
Low-Kam, C., C. Raïssi, M. Kaytoue, and J. Pei. “Mining statistically significant sequential patterns.” In Proceedings - IEEE International Conference on Data Mining, ICDM, 488–97, 2013. https://doi.org/10.1109/ICDM.2013.124.
Low-Kam C, Raïssi C, Kaytoue M, Pei J. Mining statistically significant sequential patterns. In: Proceedings - IEEE International Conference on Data Mining, ICDM. 2013. p. 488–97.
Low-Kam, C., et al. “Mining statistically significant sequential patterns.” Proceedings - IEEE International Conference on Data Mining, ICDM, 2013, pp. 488–97. Scopus, doi:10.1109/ICDM.2013.124.
Low-Kam C, Raïssi C, Kaytoue M, Pei J. Mining statistically significant sequential patterns. Proceedings - IEEE International Conference on Data Mining, ICDM. 2013. p. 488–497.
Published In
Proceedings - IEEE International Conference on Data Mining, ICDM
DOI
ISSN
1550-4786
Publication Date
December 1, 2013
Start / End Page
488 / 497