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- W2023600785 abstract "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." @default.
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- W2023600785 date "2013-12-01" @default.
- W2023600785 modified "2023-10-17" @default.
- W2023600785 title "Mining Statistically Significant Sequential Patterns" @default.
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- W2023600785 doi "https://doi.org/10.1109/icdm.2013.124" @default.
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