February 2018
Intermediate to advanced
378 pages
10h 14m
English
Content preview from Machine Learning with Swift
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The Apriori algorithm
The most famous algorithm for association rule learning is Apriori. It was proposed by Agrawal and Srikant in 1994. The input of the algorithm is a dataset of transactions where each transaction is a set of items. The output is a collection of association rules for which support and confidence are greater than some specified threshold. The name comes from the Latin phrase a priori (literally, "from what is before") because of one smart observation behind the algorithm: if the item set is infrequent, then we can be sure in advance that all its subsets are also infrequent.
You can implement Apriori with the following steps:
- Count the support of all item sets of length 1, or calculate the frequency of every item in the ...
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