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In this paper, we propose an effective scheme for association rule mining of personal hobbies in social networks. By introducing the connection and clipping techniques, we are able to ignore unrelated items in the process of finding frequent itemsets, resulting in more accurate candidate itemsets. More specifically, set operations, which are used in the process of combining frequent itemsets, can...