Abstract:
The rapid growth in data and the number of database,
there is a need for discovering valuable knowledge in large database which have
business data. Today, many companies which are to gain profit from their previous
business data are becoming interested to analysis their data for discovering useful
information. Because this information can support business decision making and
benefit of organizations. Data mining is approach to fill these requirements and is
a machine learning technique on large data items. Association rule mining is one
of the data mining techniques. This paper discuss the multilevel assocaition rule
mining from business transcation data and the Boolean Matrix based approach
which has employed to discover frequent itemsets at different levels. The system
scans the transcation database once and then uses Boolean logical operation to
generate the multilevel association rules. The system implements the application
with real-life food products of Food sales Shop.
