Practical Machine Learning by Gollapudi Sunila

Author:Gollapudi, Sunila [Gollapudi, Sunila]
Language: eng
Format: azw3, epub
Publisher: Packt Publishing
Published: 2016-01-29T16:00:00+00:00

Tip

Rules originating from the same itemset usually have the same support, but vary with confidence. The minimum support (minsup) and the minimum confidence (minconf) are the values that are agreed upon during the problem definition statement. For example, minimum support and confidence can take percentage values like 75% and 85% respectively.

To avoid all expensive computations, we can simplify this process into two steps:

Frequent itemset generation: This requires generating all the itemsets with support ≥ minsup

Rule generation: From the identified frequent itemsets, generate rules with the highest confidence

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