Introduction, Apriori Algorithm

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outlier analysis, clustering, classification, model evaluation, frequent pattern analysis

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Frequent Pattern Analysis

This module starts with an overview of data mining methods, then focuses on frequent pattern analysis, including the Apriori algorithm and FP-growth algorithm for frequent itemset mining, as well as association rules and correlation analysis.

강사:

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    Qin (Christine) Lv

    Associate Professor

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