数据挖掘

Among these, data reduction techniques can be applied to obtain a reduced representation of the data set that is smaller in volume and speed up the mining process.

其中数据缩减技术最大限度地精简数据量，提高数据挖掘的执行速度与效率。

based on fuzzy toolbox and ROSETTA with rough set to data mining of mass continuous attribute value is proposed.

针对大量连续属性值的数据挖掘，提出了一种基于模糊工具箱和ROSETTA软件的粗糙集数据挖掘方法。

For multi-dimensional data visualization technique for data mining, multi-dimensional data is switched into two-dimensional graphics display through parallel coordinate, partitioning section of rotundity, multi-dimensional zoom.

用于数据挖掘的多维数据可视化技术，将多维数据通过平行坐标、圆形分段或多维缩放变换以二维图形显示。

The obtained spatial data are comparatively incompleteness, and it is necessary for the observed data to radiate their data energies from the sample space to their parent space.

空间数据挖掘面对的首先是空间观测数据，然后才形成概念；先有连续的数据量，然后才有离散的符号量。

This algorithm preserved privacy of individual values by computing scalar product, meanwhile the algorithm of computing scalar product was given and the security was analyzed.

给出了数量积算法和隐私挖掘的步骤，最后举例说明了如何利用数量积算法进行垂直型分布式数据挖掘。

Data mining methods such as clustering, association rules, sequential pattern, statistics analysis, characteristics rules, etc.

聚类、关联规则、序列模式、统计分析、特征规则等数据挖掘方法能从这些海量数据中发现有用的知识，使数据真正成为企业的财富，为企业的决策和发展服务。

Uniform random sampling is widely applied to many kinds of algorithms in data mining. It processes uniform distribution data set extremely effectively, but easily loses slight cluster and consequently decreases clustering accuracy, when the processing data set is skew distribution.

随机抽样技术已经广泛应用于数据挖掘的各类算法中，它在处理分布均匀的数据集时非常有效，但在处理分布比较倾斜的数据集时容易丢失小的聚类。

The main work in this paper as follows: the concept and system of the network user's behavior has been studied, and the user has been classified by those in this basic; the frame, step, module function of establishing network user's behavior analyzing system has been discussed and some common methods in network customer's behavior analyzing process have also been discussed; the information source of the network customer's behavior analysis system has been studied in this paper, and also combined the relevant processes which came out by web data mining methods; the data-processing software was developed by VC and SQL Server 2000. The Web log data in SWUST campus network have been analyzed by gathering type and regression.

本论文主要工作如下：研究了网络用户行为的概念与体系，并在此基础上进行了用户分类；探讨了建立网络用户行为分析系统的步骤、框架和系统各模块的功能，以及网络用户行为分析过程中的一些常用方法；研究了网络用户行为分析系统的数据源，并结合Web数据挖掘方法提出了相应的处理方法；利用VC和SQL Server 2000开发了用于数据处理的软件；利用聚类和回归分析方法，研究了西南科技大学校园网中的Web日志数据。

Personalized information reorganization and distribution ; Stram data mining ; Web content mining ; Domain and ontology knowledge

个性化信息重组与发布；流数据挖掘； Web内容挖掘；领域本体知识

College of Computer and Information Engineering,Jiangxi Agriculture University,Nanchang 330045,ChinaFrequent subgraph mining is an active research topic in the data mining community.

如何从大量的图中挖掘出令人感兴趣的子图模式已经成为数据挖掘领域研究的热点之一。

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。