At present, outlier data mining is a hotspot for the researchers of database, machine learning and statistics.
目前，离群挖掘正逐渐成为数据库、机器学习、统计学等领域研究人员的研究热点。
Through researching various visualization methods on data mining, we propose a novel interactive visualization outlier data mining method.
通过研究数据挖掘中的各种可视化方法，提出了一种新颖的交互式可视化例外数据挖掘方法。
Based on the project background, an improved outlier data mining algorithm for time series data is given out.
根据课题背景，给出一个针对时序数据的离群数据挖掘算法的改进算法。
This article promoted outlier data mining algorithms based on weighted fast clustering to inspect and deal with outlier data effectively.
设计了基于加权快速聚类的异常数据挖掘算法，以便能快速发现异常数据。
Outlier data mining is an important embranchment in data mining research.
离群数据挖掘是数据挖掘研究的一个重要分支。
Outlier data mining is an important embranchment in data mining research.
离群数据挖掘是数据挖掘研究的一个重要分支。
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