About this document
Association Analysis in Data Mining by Power Kotar is a document available to read on EtoBox.
The document discusses association rule mining and frequent itemset generation. Association rule mining aims to find rules that predict the occurrence of items based on other items in transactions. Frequent itemset generation uses the Apriori principle to efficiently find all itemsets whose support is above a minimum threshold. It reduces the search space by pruning any candidate that has a subset with insufficient support. This two-step approach of generating frequent itemsets before rules addresses the co
- Author
- Power Kotar
- Language
- EN