唯一标识学籍号对教育相关数据挖掘的影响

唯一学籍号的推广对现有的教务系统产生了一定的影响,同时也让原本无法关联的数据库产生了连接,获得一个庞大的数据仓库,进而扩大了教育数据挖掘的应用范围和发展前景。     

Deformation effect of lateral roof roadway in close coal seams after repeated mining

This paper analyzed the deformation mechanism in lateral roof roadway of the Ding Wu-3 roadway which was disturbed by repeated mining of close coal seams Wu-8 and Wu-10 in Pingdingshan No. 1 Mine. To determine the strata disturbance scope, the strata displacement angle was used to calculate the protection pillar width. A numerical model was built considering the field geological conditions. In simulation, the mining stress borderline was defined as the contour where the induced stress is 1.5 times of the original stress. Simulation results show the mining stress borderline of the lateral roadway extended 91.7 m outward after repeated mining. Then the original stress increased, deforming the roadway of interest. This deformation agreed with the in situ observations. Moreover, the strata displacement angle changed due to repeated mining. Therefore, reselection of the displacement angle was required to design the protective pillar width. Since a constant strata displacement angle was used in traditional design, the proposed method was beneficial in field cases.     

决策树分类算法在个性化图书推荐中的应用

采用数据挖掘中的决策树方法,对图书馆的图书借阅数据进行研究和分析,提出了基于读者阅读兴趣的个性化图书推荐模型。实验表明,该模型能够为新老读者有针对性地推荐新书,较好地实现了图书馆的个性化的创新服务。     

基于关联规则挖掘的图像检索

针对图像检索中图像相似性判断所面临的"语义鸿沟"问题,本文提出了基于关联规则挖掘的图像检索。该方法利用数据挖掘技术,对图像纹理的各种低层可视化特征进行分析挖掘,获得一系列的图像低层特征值与高层概念之间的各种规则,将这些规则构成图像知识库,并与概念集合相对应。实验结果表明,采用关联规则挖掘能很好的提高图像检索的准确率。     

基于Snort的混合入侵检测系统的研究与实现

在分析研究snon系统的优缺点的基础上,利用其开源性和支持插件的优势,针对其对无法检测到新出现的入侵行为、漏报率较高以及检测速度较低等问题,在snon系统的基础上结合入侵检测中的数据挖掘技术,提出一种基于snort系统的混合入侵检测系统模型。该系统模型在snort系统原有系统模型基础上增加了正常行为模式构建模块、异常检测模块、分类器模块、规则动态生成模块等扩展功能模块。改进后的混合入侵检测系统能够实时更新系统的检测规则库,进而检测到新的入侵攻击行为;同时,改进后的混合入侵检测系统具有误用检测和异常检测的功能,从而提高检测系统检测效率。     

贵州息烽磷矿矿山接替方案的比较及实施效果

贵州息烽磷矿矿山接替方案有二：方案一为地下开采方案，该方案总投资1890万元，矿石直接生产成本38．51元／t；方案二为第二次露天延深开采方案，该方案总投资2370万元，矿石直接生产成本39.72元／t。通过分析比较，由于方案二回采率高，贫化率低，能开采山高品位原矿，对企业、国家及需矿厂家创造可观的经济效益。因此，选择了投资大，成本较高的方案二即第二次露天延深开采方案。经过对该方案两年的实施效果证明，该 技术上是可行的，经济上是合理的。     

基于数据仓库的数据挖掘技术

首先介绍了数据仓库以及在此技术上产生的数据挖掘技术,其次阐述了实现数据挖掘应用的几种工具以及选用工具时应遵循的原则,最后说明了数据挖掘技术现存的问题及它现在重要的商业地位。     

Artificial Neural Network Model for Predicting Stable and Unstable Regions in Cu-Zn Alloys

Processing maps are developed using the Dynamic Materials Model (DMM) and instability criterion, which help in choosing optimum process parameters for hot-working of materials. Certain high-level expertise is required to interpret and extract the information on instability regimes to be avoided during processing. In recent years, Artificial Neural Network (ANN) models have been developed to predict flow stress by using the input vector; namely, temperature, strain rate and strain. In this study, using the available Cu-Zn alloy data, ANN model has been developed to classify the hot-working process parameters, such as temperature, strain rate and flow stress for instability regime, directly from the corrected flow stress data without applying the DMM. This model uses 10 compositions of Cu-Zn system, ranging from 3% Zn to 51% Zn. The developed ANN model has been able to learn the nonlinear classifier, which separates unstable region from the stable region in the Cu-Zn alloy system with zinc content less than 40%.     

基于Web的数据挖掘技术研究及其在电子商务中的应用

基于Web的数据挖掘是一种结合了数据挖掘和互联网系统的热门研究课题.本文首先综述了基于Web的几类数据挖掘技术,包括Web内容挖掘、Web的访问挖掘、Web页面聚类以及用户频繁访问路径发现等技术.在此基础上又着重介绍了Web数据挖掘技术在电子商务中的具体应用.     

数据挖掘技术在企业中的应用

本文在简要地介绍了数据挖掘的定义，目的和方法。提出了在多维数据库的基础上用数据挖掘技术提高企业信息管理水平的方法。