Analysis and implementation of association rule mining

Data mining Build models of the world (regression, decision trees, neural networks, association rules, fuzzy systems,..) from data that represent snippets of information about the world. Use these models to understand and discover patterns of interest that may provide knowledge deployable in improving business processes. The non-trivial extraction of novel, implicit, and actionable knowledge from large databases and in a timely manner. The APriori Data Mining Algorithm is used to create association rules from sets of items. The algorithm finds patterns of items Algorithm uses knowledge from previous iteration phase to produce frequent itemsets that are frequently associated together. A confidence measure is created for each rule generated from the frequent itemsets.