About this document
Association Rules in Data Mining by Avi Senna Gunadi is a document available to read on EtoBox.
This document discusses association rule mining techniques for finding frequent patterns and correlations among items in transactional databases. Association rule mining involves finding rules that connect one set of items with another based on measures of support and confidence. The Apriori algorithm is used to efficiently find all frequent itemsets in a database and generate strong association rules from those itemsets. While support and confidence are commonly used measures, they have limitations and oth
- Author
- Avi Senna Gunadi
- Language
- EN