FVTreeMiner：无序频繁子树挖掘算法 关键词：无序树；标准型式；频繁子树 [gap=1019]Keywords：unorderedtree；canonical~omas；frequent subtree
基于54个网页-相关网页
频繁子树挖掘 frequent subtree mining
Frequent substructure explore the intrinsic characteristics of the data and are relatively stable to database updates. Discriminative, frequent subtree_based indexing can improve dramatically the performance of subtree search.
频繁子结构能揭示数据的内在特性,对于数据库修改也很稳定,用有判别力的频繁子树为树数据库构造索引,能显著地提高子树查询的性能。
参考来源 - 挖掘序列模式和结构化模式的精简集Firstly, XML document is represented as a directional labeled unordered tree, the schema is a frequent sub-tree extracted from the tree which represents XML document.
该方法使用了有向标记无序树来表示XML文档，从中抽取出频繁子树作为模式，并用树型模式来描述它。
参考来源 - 约束满足及其分布式求解和应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
根据特征模式复杂性，可分为频繁项模式、频繁序列模式以及频繁子树模式等。
According to the complexity of pattern, the mined characteristic patterns could be sorted as frequent item, frequent sequence and frequent sub tree, etc.
然后给出了与频繁子树有关的概念，区分了嵌入子树和直接子树，定义了同构交叠子树和最小性。
Then the paper formulates related notions of frequent sub tree, distinguishes embedded sub tree from direct sub tree, and defines isomorphic overlapped sub tree and minimum.
本文对RNA分子建立树形模型，利用频繁子树挖掘算法挖掘RNA二级结构中的公共拓扑模式。
The paper builds tree-model of RNA molecules and utilizes frequent sub tree mining algorithm to mine common topological patterns among RNA secondary structures.
应用推荐