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Frequent pattern discovery is part of knowledge discovery in databases, Massive Online Analysis, and data mining; it describes the task of finding the most frequent and relevant patterns in large datasets.The concept was first introduced for mining transaction databases.Frequent patterns are defined as subsets that appear in a data set with frequency no less than a user-specified or auto-determined threshold.
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