1.
Frequent Subgraph Mining Based on Partially Labeled Graph
基于部分标记图的频繁子图挖掘算法研究
2.
Algorithms for Mining Frequent Subgraphs and Its Applications in Biological Network
频繁子图挖掘算法及其在生物网络中的应用
3.
Comparison and Analysis of Two Typical Frequent Subgraph Mining Algorithms
两个经典频繁子图挖掘算法的对比与分析
4.
To dig(ground) with a spade.
掘地用铲子挖（地）
5.
To dig the ground, as with a spade.
挖掘挖地，例如用铲子
6.
Application and Research on Data Mining in Tourist Electronic Map
数据挖掘技术在旅游电子地图中的应用研究
7.
An efficient algorithm for detecting closed frequent subgraphs in biological networks
一种高效挖掘生物网络闭合频繁子图的算法
8.
Research on Drawing Mine Map of Backhoe Hydraulic Excavator
反铲液压挖掘机挖掘图谱程序化绘制与实验
9.
Study on Frequent Subtree Mining and Its Application in XML Mining;
频繁子树挖掘及其在XML挖掘中的应用研究
10.
A Study on Application of Data Mining Technique in Library;
数据挖掘技术在图书馆中的应用研究
11.
Based on Web Image Data Mining Research and Application;
基于Web的图像数据挖掘研究与应用
12.
The Application of Text Mining to Engineering Drawing;
文本数据挖掘在工程图文档中的应用
13.
Web Image Mining of K-NN Classification Algorithm Using Relevance Feedback;
相关反馈K-邻近分类Web图像数据挖掘
14.
A Data Mining System for Frequent Graph Based on Eclipse Platform;
基于Eclipse平台的频繁图挖掘系统
15.
The Application of Data-mining Technology in Libraries of Universities and Colleges;
数据挖掘技术在高校图书馆中的应用
16.
Following the Regulations Spirits to Dig Library s Functions;
贯彻《规程》精神 挖掘图书馆职能
17.
The Application of Association Rule in Library
关联规则挖掘在图书馆管理中的应用
18.
The Data Mining Research of Library which base on WEKA
基于WEKA软件的图书馆数据挖掘研究