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An illustration of the weighted FP-Growth algorithm pipelines, based on an example of our running activity data. Given weighted data TD and threshold σ, the weighted support of all items is firstly calculated and listed in a table. A prefix tree is then generated for efficiently acquiring frequent itemsets whose absolute value of support is above the threshold. More details about how to generate, prune and traverse the prefix tree can be found in Han et al. (44).
