Descriptive pattern mining is an important issue in data mining.
描述性规则挖掘是数据挖掘研究领域的重要课题之一。
Frequent pattern mining is one basic research of data stream mining.
数据流频繁模式挖掘是数据流挖掘的基础研究之一。
Frequent pattern mining is a key problem in many data mining application.
频繁模式挖掘是多种数据挖掘应用中的关键问题。
Applications of alarm sequential pattern mining are studied in this paper.
论文研究了序列模式挖掘在网络告警分析中的具体应用。
AFS theory has been applied to data mining, pattern recognition and failure diagnosis.
AFS理论已初步应用于数据挖掘，模式识别，故障诊断等领域。
AFS theory has been applied to data mining, pattern recognition and failure diagnosis.
AFS理论已初步应用于数据挖掘，模式识别，故障诊断等领域。
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