Using the idea and method of graphics support system to analyze and exploit mining graph CAD system makes this system have its own characteristics.
采用绘图支持系统的思想与方法，使该系统具有一定的特色。
Link prediction is an important issue in graph mining.
链接预测是图数据挖掘中的一个重要问题。
The dissertation details graph element attrib and its fuction in visualization integrated mining CAD system .
论文详细研究了图元属性及其它在可视化集成采矿CAD系统中的作用；
With the increasing demand of massive structured data analysis, mining frequent subgraph patterns from graph datasets has been an attention-deserving field.
随着对大量结构化数据分析需求的增长，从图集合中挖掘频繁子图模式已经成为数据挖掘领域的研究热点。
In the research field of mining coal, it is a new research direction that three-dimensional graph technology is applied to simulate the production process of fully mechanized coal caving face.
运用三维图形技术模拟综采工作面生产过程是煤炭开采研究领域的一个新方向。
In the paper, based on hyper graph theory, a hypergraph model is proposed, which is useful for spatial data mining.
该文基于超图理论提出了超图模型并将其用于空间数据挖掘。
The surge of social network analysis also makes graph (network) data management become one of the hottest research topic within the database and data mining community.
社会网络分析的兴起也使得图(网络)数据管理成为了当前数据库和数据挖掘领域的一个研究热点。
Mining at the requirement of network security analysis, a flexible method to generate attack graph is presented.
针对网络安全分析研究的要求，在已有研究的基础上，提出了一种灵活的网络攻击图生成方法。
An alternate way to solve these problems is to represent the transactions of those domains by graph, and find the frequent subgraphs by using graph-based data mining techniques.
一种解决的方法就是用图的形式表示这些领域的事务，然后利用基于图论的数据挖掘技术发现频繁子图。
Frequent patterns mining is an important aspect of data mining and includes mining transaction, sequence, tree and graph.
频繁模式挖掘是数据挖掘领域的一个重要方面，研究内容一般包括事务、序列、树和图。
We introduce a new conceptual framework, semantic graph mining, to enable researchers to integrate graph mining with ontology reasoning in network data analysis.
我们介绍了一种新的概念化框架，语义图像挖掘，使得研究者能够在网络数据分析中将图像挖掘和本体论推论结合起来。
Thirdly, because the Web community mining technology can overcome the ambiguous boundary problem and make the community mined unique, the technology can be applied into the partitioning of the graph.
再次，由于该社区挖掘技术能够解决以往社区边界模糊的问题，使得所挖掘的社区唯一，所以可以把该技术应用到图的划分问题上。
Secondly, we processed the edge expansion and frequent sub-graph isomorphism which are the most complexity parts of frequent subgraphs mining in parallel.
其次，将频繁子图边扩展及同构判断这部分频繁子图挖掘算法中时间复杂度最高的部分并行处理。
Secondly, we processed the edge expansion and frequent sub-graph isomorphism which are the most complexity parts of frequent subgraphs mining in parallel.
其次，将频繁子图边扩展及同构判断这部分频繁子图挖掘算法中时间复杂度最高的部分并行处理。
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