第二是研究了挖掘有效且无冗余关联规则的问题。
Secondly, we study the problem of mining valid and non-Redundant association rules.
它可以进一步应用到无冗余关联规则发现、序列分析等许多数据挖掘问题。
It can be used in the discovery of non-redundant association rules, sequence analysis, and many other data mining problems.
最后，讨论了生成子的性质及连接策略，并在包含索引的基础上，给出了一种宽度优先的无冗余关联规则挖掘算法。
Finally, the characteristics and connection strategies of generator are presented, and based on subsume index, a breadth-first algorithm for mining non-redundant association rule is proposed.
针对关联规则数量巨大并且存在极大冗余的问题，提出无冗余告警关联规则产生算法。
Non-redundant association rules mining algorithm is proposed to deal with the problem of huge rules' number and redundancy.
针对关联规则数量巨大并且存在极大冗余的问题，提出无冗余告警关联规则产生算法。
Non-redundant association rules mining algorithm is proposed to deal with the problem of huge rules' number and redundancy.
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