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Experiment with features like drawing styles, profile pic maker, or even edit PFP for a unique look that stands out. A strong profile picture boosts your professional image, essential for job searches, networking, and career growth. A clear profile picture helps others recognize and engage with you easily, especially in online spaces.

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The FP-growth algorithm is described in the paper Han et al., Mining frequent patterns without candidate generation, where “FP” stands for frequent pattern. Given a dataset of transactions, the first step of FP-growth is to calculate item frequencies and identify frequent items.

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This paper proposes and implements a parallel scheme of FP-growth algorithm and implements this parallel algorithm (PFP-growth algorithm). Experimental results show that, compared with FP-growth algorithm, PFP-growth algorithm is more efficient, and the larger the data set is, the lower the support threshold is, the more remarkable the speedup is.

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