提出了一种基于关联矩阵的频繁子图挖掘算法。
An algorithm for mining frequent subgraphs based on associated matrix was proposed.
频繁子图挖掘主要涉及到子图搜索和子图同构问题。
Frequent subgraph mining includes subgraph search and isomorphism problems.
随着图的广泛应用，图的规模不断扩大，因此提高频繁子图挖掘效率势在必行。
Therefore it is imperative to improve the efficiency of mining the frequent subgraphs.
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.
一位馆长告诉我，这些展出品原来的主人都来自地位显赫的早期游牧家族，是在图瓦北部的一个古代墓地中挖掘出来的。
A curator tells me they once belonged to high-ranking members of an early nomadic community, and had been excavated from an ancient burial ground in northern Tuva.
图12显示完成后的挖掘流。
挖掘流现在应该看上去与图12所示的相似。
The mining flow should now look similar to what is shown in Figure 12.
图12显示了InfoSphereWarehouse挖掘流量的示例。
Figure 12 shows an example of an InfoSphere Warehouse mining flow.
图坦卡蒙法老墓穴与1922年被打开，很有可能对挖掘的考古学家触发了其中的一个诅咒。
The opening of Tutankhamen's tomb in 1922 supposedly unleashed one such curse on the archaeologists working on the dig.
在设计阶段，架构师和开发者能使用图，挖掘出系统对象间的交互，这样充实整个系统设计。
During the design phase, architects and developers can use the diagram to force out the system's object interactions, thus fleshing out overall system design.
链接预测是图数据挖掘中的一个重要问题。
此处具有很大潜力，可以挖掘出整座城市的规划图。
There is great potential at this site. You could excavate the street plan of the entire city.
除图16所示的方案外，人们经常使用其他明挖掘支撑法。
Alternative methods to that shown in Fig. 16, for supporting open excavations, are often employed.
其次根据目前网络安全审计中存在的问题提出了基于数据挖掘的网络安全审计系统的实现方案并建立了系统模型图。
Secondly, it puts forward a solution of network security audit based on data mining and builds a system model to solve the problems existing in current network security audit.
目的进一步挖掘出两导联心电信号中潜在的信息，探讨一种分析与处理两导联心电信号的新方法，即心电正交合成图法。
Objective To dig out the potential information in two-lead ECG signals, and discuss a new method of analyzing and processing two-lead ECG signals, viz.
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。
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.
在数据挖掘设计器的“挖掘准确性图表”选项卡的“提升图”选项卡中，可以查看两种类型的图表：提升图表和利润图表。
You can view two types of charts in the lift chart TAB of the Mining Accuracy chart TAB of Data Mining Designer: a lift chart and a profit chart.
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。
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.
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。
With the increasing demand of massive structured data analysis, mining frequent subgraph patterns from graph datasets has been an attention-deserving field.
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。
Frequent patterns mining is an important aspect of data mining and includes mining transaction, sequence, tree and 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。
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.
2本目录配件序号和图号是根据太原重型机器厂和抚顺挖掘机厂的配件目录序号对应分别编排。
2. The catalogue fittings no. And picture no. Are in accordance with those of taiyuan heavy - type machinery works and fushun digging machine factory.
主干部分通过对该公司的基本情况、经营模式、主要的产品类型和业务状况进行全面的介绍，用鱼骨图的方法根据该公司目前的物流外包状况挖掘其物流问题产生的原因。
In the main body, company profile, business model, business scope and current situation are introduced. According to current situation of TPL, Fishbone Diagram is used to find where the problems are.
运用CAD软件绘制了液压系统原理图，油缸零件图和小型挖掘机的总体装配图。
Using CAD software to draw a diagram of hydraulic system, hydraulic cylinder part drawing and assembly drawing of small excavator overall.
利用沟槽坍塌时滑动土体的宽度表达式得到的挖掘机荷载影响区划分图，直观地给出挖掘机荷载的影响区和非影响区。
The division of influence area of machinery load was given by the expression width of for sliding soil body, and the influence area and non-influence area were visually represented.
为解决上述问题，提出了一种深度优先的挖掘加权最大频繁子图的新算法。
To solve the above two problems, authors propose a new depth-first algorithm to discover weighted maximal frequent subgraphs only.
频繁模式挖掘的研究对象包括事务、序列、树和图。
Frequent patterns mining involves mining transactions, sequences, trees and graphs.
最后，本文设计了一个土建工程概算数据挖掘系统，通过分析系统的模块功能、用例图和数据流程，提出采用基于ASP。
Through analyse system's blocking function, use case diagram and data flow, we bring forward a B/S triple layers system which is based on ASP.
最后，本文设计了一个土建工程概算数据挖掘系统，通过分析系统的模块功能、用例图和数据流程，提出采用基于ASP。
Through analyse system's blocking function, use case diagram and data flow, we bring forward a B/S triple layers system which is based on ASP.
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