About this document

Frequent Pattern Mining Techniques by Apoorva Rauniyar is a document available to read on EtoBox.

The document summarizes frequent pattern mining and association rule learning. It discusses: 1) Frequent pattern mining aims to find patterns that occur frequently in a dataset, like products that are often purchased together. 2) The Apriori algorithm is described as a seminal method that uses a generate-and-test approach to iteratively find frequent itemsets. It exploits the downward closure property to avoid unnecessary candidate generations. 3) Other methods like FP-Growth use alternative approaches

Author

Apoorva Rauniyar

Language

EN