Incremental updating algorithm for association rule based on sliding-window
基于滑动窗口的关联规则增量式更新算法

Most of the present association rule algorithms are devoted to the problem of incremental updating, and need to scan the database several times. It is difficult to deal with the large data effectively. The incremental updating algorithm for association rule based on sliding-window (SWIUA) was proposed. This algorithm updates the data by sliding-window, deals with the large new data effectively, and gets the interested and new association rules. It scans the original database and updates data only once, reduces the time of I/O and improves the mining performance of association rules.