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- At last, our experimental result shows that the algorithm FIMA is more effectively than the algorithm DLG based on graph for mining frequent patterns. 试验结果表明该算法比同样基于逻辑与运算的DLG算法挖掘频繁项集的效率更高。
- 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。
- It proposed an algorithm for mining frequent patterns by finding the frequent extensions and merging sub-trees in a conversely constructed FP-tree. 摘要提出了一种称为逆向FP-合并的算法,该算法逆向构造FP-树并通过在其中寻找频繁扩展项集与合并子树来挖掘频繁模式。
- Based on this model, a new algorithm called Global Graph Traversals-based Weighted Frequent Patterns Miner (GGTWFPMiner) was presented. 基于该模型,提出了基于全局图遍历加权频繁模式挖掘算法。
- Using frequent pattern tree,it divides and rules the alarms during the clustering process. 然后举例说明了利用该算法进行聚类的过程。
- Results of the analysis performed on the editorials indicated that the most frequent pattern pertaining to all the studied newspapers was LFV. “一样的花费,更好的质量和服务”,这是新华翻译社对客户的承诺。
- In order to overcome the disadvantage of low efficiency of KM-AOI algorithm,an AOI clustering algorithm based on frequent pattern tree is presented. 为了克服KM-AOI算法聚类效率较低的缺点,提出了基于频繁模式树的AOI聚类算法,即在聚类过程中借助频繁模式树,采取分而治之的策略处理警报集以得到规则。
- In addition, FPMFI also compresses the conditional FP-Tree (frequent pattern tree) greatly by deleting the redundant information, which can reduce the cost of accessing the tree. 另外;算法FPMFI通过删除FP子树(conditional frequent pattern tree)的冗余信息;有效地压缩了 FP 子树的规模;减少了遍历的开销.
- Then, this paper proposed an increment update algorithm TW-CFI based on frequent pattern trees and sliding windows.This algorithm adapted the characteristics of data streams. 然后,基于频繁模式树,结合滑动窗口技术提出了一种增量更新算法TW-CFI,它能适应数据流的特点并且可以挖掘数据流频繁闭项集信息。
- Furthermore, we present two pattern sanitization algorithms for blocking inference channels in frequent pattern sharing, and evaluate their performance in the experiments. 然后,基于模式净化的思路,提出了两个推理控制算法,并通过实验对算法的性能进行了比较分析。
- Since it lays groundwork for other problem and its intrinsic complexity, the algorithm for frequent pattern miming has become the focus of many research workers. 由于问题本身的基础性和内在复杂性,频繁模式挖掘方法成为许多研究者关注的课题。本文对频繁模式挖掘相关技术进行了研究。
- FODFP-Stream computes the outlier measure through discovering and maintaining the frequent patterns dynamically, and can deal with the high dimensional categorical data streams effectively. 该算法通过动态发现和维护频繁模式来计算离群度;能够有效地处理高维类别属性数据流;并可进一步扩展到数值属性和混合属性数据流.
- In anomaly detection model, the nearer and more frequent patterns are matched previously, and powered Euclid distances is used to account the similarity, and the anomaly data is sent to data analysis and response model. 在异常检测模块中,我们优先匹配近期产生次数较多的模式,采用加权欧几里得距离计算相似度,将异常情况反馈给数据分析及响应模块;
- First,the joined closed frequent pattern segments are produced.Then,longer closed frequent patterns can be obtained by combining the above segments,at the same time deleting the unclosed patterns. 首先产生闭合相邻频繁模式段,然后对这些闭合频繁模式段进行组合,同时进行闭合检测,产生新的闭合频繁模式。
- Next, after near 10 years research and development, the most essential phase in association rules mining, frequent pattern acquirement, and its techniques have been improved dramatically. 其次,在经历了近10年的发展以后,关联规则挖掘中至关重要的频繁模式获取技术得到了很大的发展。
- Riots are of frequent occurrence in this province. 这省经常发生骚乱。
- maximal frequent patterns itemsets 最大频繁集
- global and local frequent patterns 全局和局部频繁模式集
- He is a frequent visitor to our house. 他是我们家的常客。
- She was a frequent visitor to the gallery. 她经常参观这个美术馆。