Research on association rules of mining algorithm based on temporal constraint

摘要

In view of the association rule data mining problems of temporal constraint, this paper defines the space of temporal interval and set up two temporal interval variables to operate. The ISS-DM algorithm is improved based on the existing filter and the merge algorithm. Improved algorithm realized the processing method of generating association rules separately for temporal database corresponding to each other across time zones. The simulation results show that the improved ISS-DM algorithm enhanced the ability of large database mining, reduced the burden of memory and CPU, and at the same time, improved the accuracy of the data mining rules.