This paper proposes a novel query expansion method using Local Context Analysis (LCA) based concept tree pruning.
介绍一种局部上下文分析(LCA)剪枝概念树的方法。
The cluster representative was constructed by three successive steps named Tree matching, Tree merging and Tree pruning.
为了构建聚类代表，算法通过构造最佳匹配树，合并树，修剪树三步来实现。
A pruning algorithm based on the principle of Minimum Description Length is applied in the tree-pruning phase.
在树的修剪阶段，采用了一种基于最小描述长度原理的修剪算法。
A pruning algorithm based on the principle of Minimum Description Length is applied in the tree-pruning phase.
在树的修剪阶段，采用了一种基于最小描述长度原理的修剪算法。
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