An Efficient Algorithm for Mining Inter-transaction Association Rules in Multiple Time Series
董泽 Dong Ze · 2004
We can use methods that mine inter-transaction association rules to analysis multiple time series for finding their relationships. In this paper, a new algorithm named ES-Apriori will be presented to mine inter-transaction association rules in multiple time series. This algorithm needs to search the whole database only one time, with the rational arrangement of memory usage it can successfully mine the association rules in time series. Experiments have shown that this method can efficiently analyze the time series of Chinese Stock Market.