Multidimensional Time Series Fuzzy Association Rules Mining

Authors

Xuedong Gao, University of Science and Technology Beijing
Hongwei Guo, University of Science and Technology Beijing

Abstract

In this paper, we present a new solution, in which the fuzziness of both subsequences and subsequences interval has been taken into consideration for solving the problem of multidimensional time series fuzzy association rules mining. Aimed at dealing with the new conception, this paper has put forward some key algorithms of the solution. Finally, an application example of multidimensional time series fuzzy association rules mining is illustrated. The result shows that rules with fuzzy interval can only be mined out by the above-mentioned new method.

Recommended Citation

Gao, Xuedong and Guo, Hongwei (2006) "Multidimensional Time Series Fuzzy Association Rules Mining," Communications of the IIMA: Vol. 6: Iss. 3, Article 10.
DOI: https://doi.org/10.58729/1941-6687.1329
Available at: https://scholarworks.lib.csusb.edu/ciima/vol6/iss3/10