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the microsoft sequence clustering algorithm
Vertaling van "the microsoft sequence clustering algorithm" in Chinees
Microsoft 顺序分析和聚类分析算法
Multiple sequence key columns were detected in the sequence table in the %{modelname/} model. The Microsoft Sequence Clustering algorithm only accepts tables with one sequence key column.
在 %｛modelname/｝ 模型的序列表中检测到多个序列键列。Microsoft 顺序分析和聚类分析算法只允许表有一个序列键列。
The Microsoft Sequence Clustering algorithm is a combination of sequence analysis and clustering, which identifies clusters of similarly ordered events in a sequence. The clusters can be used to predict the likely ordering of events in a sequence based on known characteristics.
Microsoft 顺序分析和聚类分析算法结合了顺序分析和聚类分析，它可标识出序列中排序方式类似的事件所组成的分类。使用分类，可以根据已知特征预测事件可能以何种顺序在序列中排列。
The Microsoft Sequence Clustering algorithm combines two other data mining techniques: sequence analysis and clustering. This algorithm analyzes and clusters sequence related patterns.
Microsoft 顺序分析和聚类分析算法综合了其他两项数据挖掘技术： 顺序分析和聚类分析。此算法分析与顺序相关的模式并对进行聚类。
There is a non-discrete sequence node attribute in the %{modelname/} model. The Microsoft Sequence Clustering algorithm requires this attribute to be of type Discrete.
｛modelname/｝ 模型中存在非离散的序列节点属性。Microsoft 顺序分析和聚类分析算法要求此属性是离散类型。
Although the Microsoft Sequence Clustering algorithm is the only Microsoft algorithm that supports using
虽然Microsoft顺序分析和聚类分析算法是支持使用
A sequence node column was not found in the %{modelname/}, model. The Microsoft Sequence Clustering algorithm requires a nested table containing sequence key and sequence node columns.
在 %｛modelname/｝ 模型中找不到序列节点列。Microsoft 顺序分析和聚类分析算法要求一个包含序列键和序列节点列的嵌套表。
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