挖掘

Artificial intelligence technology, data mining technology,as well as Web Service,these developments of technologies and standards provided the basis for studying and developing the Active service.

人工智能技术、数据挖掘技术以及Web Service等技术和标准的发展为研究和发展主动服务提供了基础。

Rough set theory emerges as a powerful tool for dealing with the vagueness and uncertainty of facts,which has been widely applied in many fields such as artificial intelligence and data mining.

粗糙集理论是一种处理模糊和不确定性知识的数学工具，在人工智能及数据挖掘等众多领域已经得到了广泛的应用。

Research Lab of Artificial Intelligence and Data Mining,Department of Computer Science and Technology,Suzhou University,Suzhou,Anhui 234000,China

宿州学院计算机科学与技术系，人工智能与数据挖掘研究室，安徽宿州 234000

Mining design patterns from source code is a very important technology for improving the intelligibility and maintainability of software.

从系统源码中挖掘设计模式对软件的可理解性和可维护性具有重要意义。

Identifying and measuring the interestingness of patterns and rules discovered, or to be discovered, is essential for the evaluation of the mined knowledge and the KDD process as a whole.

衡量已经发现的或将要被发现模式和规则的兴趣度，对于评价已挖掘的知识和知识发现过程都是必要的。

An algorithm for mining fuzzy association rules is also proposed. A new interestingness function which can measure the novelty of rules is given.

本文提出了模糊关联规则的概念，研究了模糊关联规则的性质和挖掘算法，同时还提出了一种新的规则有趣性的度量函数。

In KDD(Knowledge Discovery in Database),there are a number of patterns discovered from large database by data mining,but most of them are of no interestingness to the user.

引言在当今KDD领域以数据挖掘算法为中心的主流发展中，较少有人问津知识评价问题的研究。

After the introduction of some typical web log preprocessing techniques, it is pointed out that the frame pages in a web site can reduce the interestingness of the result page groups. Then, a frame-filtering algorithm is proposed to solve this problem.

本文在介绍了典型的数据预处理技术的基础上，指出Frame页面降低了挖掘结果的兴趣性，并提出相应的解决方法——Frame页面过滤算法消除其影响。

This paper analyzes the influence factors of pattern interestingness in objective and subjective aspects, introduces a multi-object decision method to evaluate the results of data mining, so that the ultimate results are understandable, useful, and interesting to the end-user.

从客观和主观两个方面分析了模式兴趣度的影响因子，并用多目标决策方法PROMETHEE对数据挖掘的结果进行综合评估，力图最终自动提交给用户的是易于理解的、潜在有用的有趣模式。

Data mining ; Pattern evaluation ; Interestingness ; Multi-object decision

数据挖掘；模式评估；兴趣度；多目标决策

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。