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Published in:
2005 | OriginalPaper | Chapter
Mining Dynamic Association Rules in Databases
Authors : Jinfeng Liu, Gang Rong
Published in: Computational Intelligence and Security
Publisher: Springer Berlin Heidelberg
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We put forward a new conception,
dynamic association rule
, which can describe the regularities of changes over time in association rules. The dynamic association rule is different in that it contains not only a support and a confidence but also a
support vector
and a
confidence vector
. During the mining process, the data used for mining is divided into several parts according to certain time indicators, such as years, seasons and months, and a support vector and a confidence vector for each rule are generated which show the support and the confidence of the rule in each subsets of the data. By using the two vectors, we can not only find the information about the rules’ changes with time but also predict the tendencies of the rules, which ordinary association rules can not offer.