Constrain Based Association Mining
... customer age, address, and credit rating) as well as the list of customer transactions. You are interested in finding associations between customer traits(attributes) and the items that customers buy. However, rather than finding all of the association rules reflecting these relationships, you a ...
... customer age, address, and credit rating) as well as the list of customer transactions. You are interested in finding associations between customer traits(attributes) and the items that customers buy. However, rather than finding all of the association rules reflecting these relationships, you a ...
Association - WordPress.com
... Assume that we know frequent itemsets of size k-1. Considering a k-itemset we can immediately conclude that by dropping two different items we have two frequent (k-1) itemsets. From another perspective this can be seen as a possible way to construct k-itemsets. We take two (k1) item sets which d ...
... Assume that we know frequent itemsets of size k-1. Considering a k-itemset we can immediately conclude that by dropping two different items we have two frequent (k-1) itemsets. From another perspective this can be seen as a possible way to construct k-itemsets. We take two (k1) item sets which d ...