数据挖掘中关联规则的规范化描述

一、引言数据挖掘(Data Mining)是近年来随着人工智能和数据库技术的发展而出现的一门新兴学科。它是从大量的数据中筛选出隐含的、可信的、新颖的、有效的信息的高级处理过程。关联规则(Association Rule)是其中重要的研究课题,是数据挖掘的主要技术之一,也是在无指导学习系统     

Estimation for Birnbaum–Saunders Distribution in Simple Step Stress–accelerated Life Test with Type-II Censoring

This paper develops the Bayesian estimation for the Birnbaum–Saunders distribution based on Type-II censoring in the simple step stress–accelerated life test with power law accelerated form. Maximum likelihood estimates are obtained and Gibbs sampling procedure is used to get the Bayesian estimates for shape parameter of Birnbaum–Saunders distribution and parameters of power law–accelerated model. Asymptotic normality method and Markov Chain Monte Carlo method are employed to construct the corresponding confidence interval and highest posterior density interval at different confidence level, respectively. At last, the results are compared by using Monte Carlo simulations, and a numerical example is analyzed for illustration.     

The Equivalence of Neyman Optimum Allocation for Sampling and Equal Proportions for Apportioning the U.S. House of Representatives

We present a surprising though obvious result that seems to have been unnoticed until now. In particular, we demonstrate the equivalence of two well-known problems—the optimal allocation of the fixed overall sample size n among L strata under stratified random sampling and the optimal allocation of the H = 435 seats among the 50 states for apportionment of the U.S. House of Representatives following each decennial census. In spite of the strong similarity manifest in the statements of the two problems, they have not been linked and they have well-known but different solutions; one solution is not explicitly exact (Neyman allocation), and the other (equal proportions) is exact. We give explicit exact solutions for both and note that the solutions are equivalent. In fact, we conclude by showing that both problems are special cases of a general problem. The result is significant for stratified random sampling in that it explicitly shows how to minimize sampling error when estimating a total T_Y while keeping the final overall sample size fixed at n; this is usually not the case in practice with Neyman allocation where the resulting final overall sample size might be near n + L after rounding. An example reveals that controlled rounding with Neyman allocation does not always lead to the optimum allocation, that is, an allocation that minimizes variance.     

Variance estimation for the 2006 French housing survey

In the 2006 French housing survey, information is collected on many aspects of housing to describe the housing stock in France and the housing conditions of French households. The basic national sample results from a multistage sampling design. Complementary samples were selected to perform accurate estimations for socio-demographic domains. Some French regions proceeded to a regional and local extension of the national sample. The variance is estimated for a region with a regional and local extension of the basic national sample.     

高校教学质量监控的现状与对策

从教学质量监控的目的和意义入手 ,针对目前高校教学质量监控存在的问题 ,提出了构建高校教学质量监控机制的设想 ,阐述了教学质量监控的实施要点     

基于可变精度的加权粗糙集模型在约简中的研究

首先对粗糙集的定义进行了描述,在可变精度的基础上提出了加权粗糙集模型。重新定义了近似空间内的一些概念,给出了加权粗糙集模型的约简概念,指出了加权系数的两种方法。并根据实验分析,得出加权粗糙集模型约简中分类错误增大,约简长度越短,约简所花时间越长等特性。     

基于Vague集模糊推理机制的温度控制系统设计

Vague集理论是一种新的模糊数学方法，它能准确地确定、描述判断事务的信息．利用Vague集理论知识，设计了一种新型的温度模糊控制器．控制器对温度的控制根据设置的规则，利用Vague集的相似度量推理方法，匹配最佳控制模式．控制器输出的控制量为数字量．实验结果表明，整个系统设计过程简单，步骤简化，模糊隶属度区间值容易确定，控制过程效果较好，有很好的应用价值．     

祈愿类俗赋举要(一)

俗赋除了具有铺写、用韵、虚拟等赋体特征之外,又兼有浅近、诙谐、实用等的俗文学性质。依俗赋的特质,可将其分为祈愿、诙谐、故事寓言、隐语、认知、铺叙、论辩等类。祈愿类俗赋有驱傩辞、上梁文、撒帐辞等民俗应用文。祈愿类的俗赋含有基层民众的生活愿望,表现出铺排的文学效果,兼具有民俗研究与文学欣赏的价值。     

参差重复频率分析和设计

雷达工作于脉冲工作状态时不可避免的会出现盲速现象。可通过参差重频的方法减少盲速带来的影响。在推导频率响应的基础上,该文采用最优化设计的方法进行参差周期的设计,详细考虑并推导得到了最优化搜索中几个重要参数,给出了其解析表达式。仿真结果和频率响应图表明,该方法得到的参差周期能将慢速扩大到原来盲速的数倍以上,有效地减少了盲速的影响。     

企业信息化指数测算方法研究

应用模糊集合论和主成分分析的方法对企业信息化进行了综合评判,引进了一种新的隶属函数对数据进行了无量纲化处理并确定了各指标权重,建立了山东省企业信息化指数模型。利用此方法对 5家企业信息化进行综合评价,得到了满意的结果。