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- outlier pattern mining 离群模式挖掘
- Access pattern mining module fulfills the FAP-Mining algorithm. 访问模式挖掘模块实现了本文第四章提出的FAP-Mining算法。
- Secondly，the outlier pattern of time series can be detected by local outlier detection technique. 其次利用局部异常检测方法检测出时间序列中的异常模式。
- Experimental results demonstrate that the proposed method can identify outlier pattern efficiently. 实验表明该方法能够有效地监测出时间序列中的例外模式。
- This paper presents an outlier pattern detection algorithm of time series based on K-Mean Distance Outlier Factor （K-MDOF）. 摘要 提出了一种基于k-均距异常因子检测时间序列异常模式的算法（K-MDOF）。
- Sequential pattern mining, which has broad applications, is one of key research areas in data mining. 摘要序列模式挖掘是数据挖掘中一个重要研究方向，具有广泛的应用背景。
- Sequential pattern mining is useful in various domains, such as customer behavior analysis, economic indices analysis, tax prediction, and fraud detection. 摘要序列样式探勘可应用顾客行为分析、经济指标分析、财税预测、诈欺侦测等领域，以辅助决策制定或针对重要事件进行预测。
- If shown control chart patterns, the Six Sigma Black Belt should be able to match the control chart with the correct situation (e.g., an outlier pattern vs. a gradual trend matched to a tool breaking vs. a machine gradually warming up). 译文：如果看一份控制图，六西格玛黑带应该能够将控制图与正确的状况匹配（例如，把超出控制限的图案、渐进的趋势与工具损坏、设计越来越热相匹配。）
- A new predict model was contrived, which involves local stream energy prediction, the energy distribution pattern mining, the predictive series reconstruction and measurement method of stream energy. 设计了数据流预测查询的新模型,包括局域流能量预测、能量分布模式挖掘及预测序列的重构和数据流能量的度量方法;
- Based on the above algorithm, a FCL based sequential patterns mining algorithm (SECLSP) is implemented. 在此基础上,实现了基于频繁概念格的序列模式发现算法SECLSP。
- Experimental results showed that GGTWFPMiner was an effective weighted frequent patterns mining algorithm based on graph traversals. 实验结果表明，该算法是一个高效的基于图遍历的加权频繁模式挖掘算法。
- A Study on Path Traversal Pattern Mining on WWW WWW上路径模式发掘的研究
- Research on User's Behavior Pattern Mining 用户行为模式挖掘问题的研究
- Outlier mining is an important part of data mining. 摘要离群数据挖掘是数据挖掘的重要内容。
- Using Frequent Pattern Mining for Image Labeling 利用频繁模式挖掘进行图像标注
- Temporal Frequent Pattern Mining Algorithm (TemFP) 时态频繁模式挖掘算法（TemFP）
- This cloth has a pattern of blue and white squares. 这种布有蓝白格子的图案。
- multi-dimensional sequence pattern mining 多维序列模式挖掘
- The economy should be shaped to a new pattern. 经济应该适合于一种新的模式。
- closed sequential pattern mining 闭合序列模式挖掘
