Discovering Association Rules in Temporal Databases

Discovering Association Rules in Temporal Databases

Juan M. Ale (Universidad de Buenos Aires, Argentina) and Gustavo H. Rossi (Universidad Nacional de La Plata, Argentina)
Copyright: © 2005 |Pages: 6
DOI: 10.4018/978-1-59140-560-3.ch033
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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.

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