数据挖掘

Secondly, the rough set theory and data preprocessing are introduced and the general application procedure of rough set theory in data mining is analyzed. Then the authors researches on data discretization and attribute reduction are introduced in detail.

然后，论文对粗糙集理论和数据预处理从理论和技术上做了一些介绍，并对数据挖掘中的各环节运用粗糙集理论的方法进行了分析；随后论文重点对作者在数据离散和属性约简两个方面做的研究工作进行了阐述。

Further more, the information access and search engine can not resolve these problems efficiency for their inhere defect.

传统的数据挖掘技术和WEB相结合衍生的WEB挖掘技术为有效解决这一问题开辟了崭新的途径。

The methods to calculate the subjective interestingness and to measure the importance of rules by using of the domain knowledge are studied.

引 言在数据挖掘中，对规则的关注程度( interest-ingness)是用户对挖掘出的知识的合法、新奇、有用和可理解性的综合度量 [3 ] 。

The contribution to the interruptive coordinator is that if the knowledge discovery can not go on solely in the knowledge base, the process is interrupted and turns to the database; and that if the data mining in the database discovers some redundant attributes, the process is interrupted and turns to the knowledge base to delete the redundant attributes.

对中断型协调器的发展是：原本单纯在知识库中的知识发现，若不能继续进行则要中断发现过程而借助于数据库进行规则的发掘；原本在数据库中的数据挖掘当发现属性的冗余时可以中断挖掘过程而在知识库中删除冗余的属性。

On one hand this text proceeds from technology of IDS, start with from studying the development of IDS and technological principle, can realize to one a concrete one honeypot inveigle IDS model of function further investigate; Study Honeynet system and key technology deeply on the other hand, excavate technology of the data to introduce the honeyed pot system at the same time , have optimized and strengthened the function of IDS system.

本文一方面从IDS的技术出发，研究IDS的发展和技术原理进而对一个具体的可实现蜜罐数据反馈和联动的IDS模型进行深入研究；另一方面深入地研究Honeynet系统及其核心技术，同时将数据挖掘技术引入蜜罐系统，优化和加强了蜜罐的数据价值并为IDS系统提供

Especially extracting information of protein-protein interaction from MEDLINE abstract is regarded as one of the most important task today.

实体识别准确率的高低直接影响着数据挖掘系统的好坏与否，因此实体识别在生物医学文献的挖掘中成为关键性的一步。

Association rules mining is a very active field in data mining and there are many algorithms today. In this field, the most classical algorithm is Apriori put forward by Agrawal et. al and it is used widely. The paper analyzes the advantages an disadvantages of Apriori, AprioriTid and AprioriHybrid algorithm in mining association rules. To solve the bottle of AprioriHybrid algorithm, a Support-Matrix method to rapidly verify the 2-frequent itemsets is put forward. To accelerate the speed of verify the k-frequent itemsets, a simple and highly efficient method of minimizing the trade database is given. All these two methods improve the efficiency of AprioriHybrid method.

关联规则挖掘是数据挖掘中一个非常活跃的领域，当前有许多种算法，最经典并被广泛使用的是Agrawal等人提出的Apriori算法及其衍生算法，本文分析了Apriori，AprioriTid和AprioriHybrid算法的优缺点，针对AprioriHybrid算法的瓶颈提出一种使用支持度矩阵对频繁2项集快速验证的方法，并给出一种简单易行，而又高效的逐步缩减交易数据库的方法，加快对候选频繁k项集的验证速度，从而提高了AprioriHybrid算法的效率。

Aiming to the two points of data compressing and characteristic distilling during the pretreatment of image data process, this paper introduces a non-numeric parallel algorithm of continous hopfield neural network used to clustering of image data mining.

针对图像数据预处理中的数据压缩和特征提取两个重点，介绍一种基于连续Hopfield神经网络的非数值并行算法应用于图像数据挖掘的聚类预处理过程。

In order to provide a flexible and patulous calculating platform and execute high efficiency data mining, a calculating architecture and algorithms of data mining are presented to apply in distributed and parallel environment.

为了提供一个灵活可扩展的计算平台进行高效的挖掘计算，提出了一种应用于分布和并行环境的数据挖掘计算框架和相应的算法。

In the preprocessing of data mining,data missing is one of the most common problems in data preprocessing.

在数据挖掘预处理中，数据缺失是最为常见的数据预处理问题之一。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。