Discovering Association Rules in Temporal Databases

Abstract

The problem of the discovery of association rules comes from the need to discover interesting patterns in transaction data in a supermarket. Since transaction data are temporal we expect to find patterns that depend on time. For example, when gathering data about products purchased in a supermarket, the time of the purchase is stamped in the transaction.