Study on Mining Weighted Infrequent Itemsets Using FP Growth

Provided by: International Journal Of Engineering And Computer Science
Topic: Data Management
Format: PDF
In information mining and knowledge discovery techniques area and frequent pattern having important role, frequent patterns are patterns that come out in data set recurrently. Item sets that occur frequent are patterns or items like item sets, substructure or subsequences. Frequent weighted item set characterize associations frequently holding in information in which items may weight contrarily. Still, in some contexts, e.g., when the need is to minimize a certain cost function, determining infrequent information associations is more curious than mining frequent ones.

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