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Discovering Association Rules in Temporal Databases

Discovering Association Rules in Temporal Databases

Juan M. Ale, Gustavo H. Rossi
Copyright: © 2005 |Pages: 6
ISBN13: 9781591405603|ISBN10: 1591405602|EISBN13: 9781591407959
DOI: 10.4018/978-1-59140-560-3.ch033
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MLA

Ale, Juan M., and Gustavo H. Rossi. "Discovering Association Rules in Temporal Databases." Encyclopedia of Database Technologies and Applications, edited by Laura C. Rivero, et al., IGI Global, 2005, pp. 195-200. https://doi.org/10.4018/978-1-59140-560-3.ch033

APA

Ale, J. M. & Rossi, G. H. (2005). Discovering Association Rules in Temporal Databases. In L. Rivero, J. Doorn, & V. Ferraggine (Eds.), Encyclopedia of Database Technologies and Applications (pp. 195-200). IGI Global. https://doi.org/10.4018/978-1-59140-560-3.ch033

Chicago

Ale, Juan M., and Gustavo H. Rossi. "Discovering Association Rules in Temporal Databases." In Encyclopedia of Database Technologies and Applications, edited by Laura C. Rivero, Jorge Horacio Doorn, and Viviana E. Ferraggine, 195-200. Hershey, PA: IGI Global, 2005. https://doi.org/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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