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[SOLVED] 代写 algorithm Spark parallel Consider the movie lens data set: https://www.kaggle.com/shubhammehta21/movie-lens- small-latest- dataset/. Here we only consider the “ratings.csv” file which has 100,836 rows (ignore the header). We are only concerned with the first two columns: userId and movieId. Your task is to implement a Spark algorithm, assoc.py, for discovering association rules of the form: I→j, where I is an itemset and j is a single item (similar to what the text book discusses), from the dataset. Note that items here are movies and users are baskets.
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