关键词: 项头表, 频繁模式, 关联规则, 告警关联, 数据挖掘

Abstract: Concerning the problem of low traversal efficiency when searching the FP-tree for conditional pattern bases, a new no-header-table FP-Growth algorithm was proposed. The algorithm employed a recursively backtracking way to search for conditional pattern bases, avoiding traversing the same FP-tree path multiple times. Compared with FP-Growth algorithm in terms of theoretical analysis and actual mining performance, this algorithm greatly reduced the searching cost and improved the mining efficiency of frequent patterns by 2-5 times. Finally, the algorithm was used to mine association rules in telecommunication network alarms. The high mining speed, with the coverage of 83.3% against correct rules, shows that it is superior to FP-Growth both in time and space performance.

Key words: item header table, frequent pattern, association rule, alarm association, data mining