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- multi-dimensional sequence pattern mining 多维序列模式挖掘
- This paper analyzes some common information of doctor's advice for medicine, mines the doctor's advice for medicine by using sequence pattern mining method, and explains the mining results. 文中分析了医嘱数据库中一些常见药物医嘱信息，采用序列挖掘方法对药物医嘱进行了挖掘，并对挖掘结果进行了解释和分析。
- incremental sequence pattern mining 增量序列模式挖掘
- Projection Based Web Access Sequence Patterns Mining 一个基于投影的Web访问序列挖掘算法
- Sequence Pattern Mining Without Duplicate Project Database Scan 无重复投影数据库扫描的序列模式挖掘算法
- sequence patterns mining 序列模式挖掘
- sequence pattern mining 序列模式挖掘
- 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。
- Then, the sequence pattern algorithm was improved to fulfill the demand of concatenate sequence mining, and the matching algorithm of service recommendation was aslo described. 对序列模式算法进行了改进，以适应连续序列挖掘的需求，并描述了服务推荐的匹配算法；
- The searching space of frequent temporal sequence patterns could be reduced and the efficiency of association rule mining could be improved by projecting frequent items in time windows to prefix projected accumulation trees. 将时间窗口内频繁项的信息映射到前缀映射累加树中，以降低频繁时序模式的搜索空间，提高时序关联规则的挖掘效率。
- The methods are both based on data mining (DM) technique, and use sequence patterns to represent the normal behavior profile of a program according to the supports or confidences of the patterns in the training data. 这两种方法均利用数据挖掘技术中的序列模式描述一个程序的正常行为,根据序列的支持度(support)或可信度(confidence)在训练数据中提取正常序列,检测中通过序列比较对攻击行为进行识别。
- 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。
- From the perspective of concept, definitions of node sequence pattern and node regular expression are introduced. 扩充从概念、语法描述和执行机制 3个方面展开 ,概念上 ,引入了结点序列模式和结点正则表达式的定义 ;
- 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。
- 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。
- The origin of the present confusion mainly contributes to the different analysis about the control on sequence pattern which lead to the misuse of both nomenclature cyclicity and stage. 层序分级混乱的原因主要在于不同学者对层序发育主控因素的理解不同,对层序界面的把握有别,混淆了旋回性和阶段性。
- In video disk, a consecutive sequence of frames. 在视频光盘上，一种连续的帧序列。
- She made a sequence of dance movements. 她做了一个连续的舞蹈动作。
- Data Mining of Temporal Sequence Patterns in a Temporal Space 时态空间中时态序列模式的数据挖掘
