Mining Time Series Data with Fuzzy Association Rules

Abstract

A novel algorithm for forecasting the relationship of time series is proposed to address two important issues: how to combine the fuzzy time series and association rule, and how to improve efficiency and simplicity without losing the accuracy. A complete procedure is proposed and the results of this algorithm show more efficient than those of the methods proposed in previous studies on the application of forecasting enrollments.