基于数据挖掘技术的CRM系统研究

数据挖掘是CRM的核心，作者介绍了数据挖掘的概念、过程、目标，并分析了基于数据挖掘的CRM的特征。在此基础上提出了基于数据挖掘的面向CRM的综合决策支持系统模型。     

机器数在数轴上的表示方法

介绍了机器数在数轴上的几何表示方法，并用此方法分析了补码运算的溢出问题．     

The Relative Efficiency of Departments at a Turkish Engineering College: A Data Envelopment Analysis

In this study, Data Envelopment Analysis is used to measure relative efficiencies of academic departments of an engineering college. Input and output criteria are determined and measured utilizing the academic personnel performance measurement scheme of the College. New measures are developed to compare departments of different disciplines. The discriminating power of the measurement models is improved by restricting criteria weights directly and by using a multiple criteria decision making approach. Sensitivity of the results to exclusion of a criterion and changes in relative importance of the criteria is analyzed. Evaluation of the results jointly by the college administration and the departments is explained for a successful efficiency improvement mechanism.     

Bayesian Regularized Multivariate Generalized Latent Variable Models

We consider a multivariate generalized latent variable model to investigate the effects of observable and latent explanatory variables on multiple responses of interest. Various types of correlated responses, such as continuous, count, ordinal, and nominal variables, are considered in the regression. A generalized confirmatory factor analysis model that is capable of managing mixed-type data is proposed to characterize latent variables via correlated observed indicators. In addressing the complicated structure of the proposed model, we introduce continuous underlying measurements to provide a unified model framework for mixed-type data. We develop a multivariate version of the Bayesian adaptive least absolute shrinkage and selection operator procedure, which is implemented with a Markov chain Monte Carlo (MCMC) algorithm in a full Bayesian context, to simultaneously conduct estimation and model selection. The empirical performance of the proposed methodology is demonstrated through a simulation study. An application of the proposed method to a study of adolescent substance abuse based on the National Longitudinal Survey of Youth is presented.     

Visualising Correlation with Spreadsheets

When teaching correlation it is often very useful to show examples of data sets with a given correlation. This article describes a method using a spreadsheet to generate such scatterplots and to obtain “confidence regions”.     

沿海地区设计潮位计算方法探讨

采用P-Ⅲ型分布及极值Ⅰ型分布,研究了沿海地区设计潮位计算方法.阐述了资料的一致性检验的方法.结合坎门站潮位资料,对比了两种方法的计算效果.结果表明,两种方法对不同重现期设计值的估计结果相当,但P-Ⅲ型分布计算时参数的选取与习惯用法不符,因此,建议采用极值Ⅰ型分布进行设计潮位计算.     

XML技术剖析及其查询优化

结合XML技术及半结构化数据索引和Lore系统中的索引结构，提出了一种特殊的XML数据索引建立的方法，及利用索引实现对XML查询的优化。     

Seeking big ideas in algebra: the evolution of a task

In this paper we describe a strand of activities for teachers of mathematics that we used with two cohorts of participants in a professional development program called Revitalizing Algebra (REAL). We first discuss our goals and describe the participants, and then we describe the construction and selection of the tasks followed by teacher responses. Finally, we reflect on different iterations of the tasks, their impact on the teachers’ thinking and practice, and the role of school and department culture in the process of change.     

电站运行优化问题的决策支持系统方案

基于电站运行优化问题的目标分析 ,提出新颖的电站运行优化决策支持系统 (OODSS)解决方案 .依照决策支持系统 (DSS)的结构及其设计思想 ,对OODSS的总体结构进行了研究 ,并对其主干子系统 :包括人机交互系统、问题处理系统、数据库系统、模型库系统、专家系统 (ES)与数据开采系统等的设计提出合理的方案     

互联网+大数据环境下个性化学习空间研究

为了提高人才培养质量,做到因材施教,将互联网+、大数据和虚拟现实技术应用到个性化学习中,提出个性化学习空间。首先探讨个性化学习空间功能,提出学习空间架构;其次对个性化空间工作流程进行梳理,并分析学习空间特点;最后通过原型系统分析可知,学生课程学习效果得到了提高。因此,该学习空间可激发学生学习积极性,有效提高人才培养质量。