模型是传统的二元树形算法的推广。
The model is a generalization of conventional binary tree algorithm.
传统哈夫曼编码借助树形结构构造，算法实现时使用链表或静态链表结构，空间的每个结点内有左、右子树、双亲指针。
Traditional Huffman coding is structured in the way of tree pattern, using the chain or static chain structure in algorithm, and every node in space has left, right tree and parents Pointers.
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.
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