This paper discussed the application of granular computing in rule discovery.
主要对粒计算在规则发现中的应用进行了研究。
Spatial association rule discovery in spatial databases is a very important data mining task.
空间关联规则挖掘是在空间数据库中进行知识发现的一类重要问题。
Subsequently, the association rule discovery algorithm is employed to discover the sequence association rules.
最后应用关联规则发现算法进而发现序列关联规则。
Most data mining tools for knowledge discovery generally use rule discovery and decision tree technology to extract data patterns and rules.
用于知识发现的大部分数据挖掘工具均采用规则发现和决策树分类技术来发现数据模式和规则。
Most data mining tools use rule discovery and decision tree technology to extract data patterns and rules; its core is the inductive algorithm.
大部分数据挖掘工具采用规则发现和决策树分类技术来发现数据模式和规则，其核心是归纳算法。
In this paper, knowledge discovery in network alarm sequence is studied and an algorithm of frequent episode rule discovery based on sliding Windows is presented.
本文研究网络告警序列中的知识发现问题，提出并实现了一种基于滑动窗口的情景规则挖掘算法。
In this paper, knowledge discovery in network alarm sequence is studied and an algorithm of frequent episode rule discovery based on sliding Windows is presented.
本文研究网络告警序列中的知识发现问题，提出并实现了一种基于滑动窗口的情景规则挖掘算法。
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