noteJ

noteJ

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multiple classification Curse of dimensionality Numeric underflow Dimensionality Reduction Nearest Neighbor Classifier Apriori algorithm association rules pre processing MLP calculation Naïve Bayes classifier stratified sampling data-mining zero count feature creation feature subset selection variable transformation LVQ Automated Test discretization Pre-processing

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Apriori algorithm(1)

  • The main steps of the Apriori algorithm for mining association rules.

    The Apriori algorithm is a classic algorithm for mining frequent itemsets and discovering association rules in large datasets. Here are the main steps of the Apriori algorithm: Determine the support threshold: The support threshold is the minimum number of transactions in which an itemset must appear to be considered frequent. This value is typically set by the user. Generate frequent 1-itemsets..

    2023.03.02
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