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Learning Data Mining with R by Bater Makhabel

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Classification using frequent patterns

There are two types of classification using frequent patterns:

  • Associative classification model as well as association rules, which are generated from frequent patterns and used for classifications
  • Discriminative frequent pattern-based classification

The associative classification

The generic association classification algorithm is defined here. The input parameters for the kNN algorithm are as follows:

  • D, which is a set of training objects
  • F, which is the itemset
  • MIN_SUP, which is the minimal support
  • MIN_CONF, which is the minimal confidence

The output of the algorithm is a rule-based classifier and is shown as follows:

Two popular algorithms are illustrated in the successive sections, one is Classification Based ...

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