Mining Time Series Data with Apriori Tid Algorithm

Abstract

Analysis of time series data is important. Association rule mining algorithms like Apriori Tid can be implemented over time series to find out the frequent item sets. In this paper, a modified version of Apriori Tid is proposed. Both the association rule mining algorithms Apriori Tid and modified Apriori Tid are implemented over time series data. Rainfall data related to North Eastern India has been considered as the time series. The performances of both the algorithms in terms of computation time requirements for generating frequent item sets are analysed. Future scope of the work is also outlined.