分类数据

We have found its applications in many areas such as artificial intelligence,knowledge discovery ,pattern recognition and classification, and data mining and fault diagnostication.

粗糙集理论是处理不确定知识的一种工具，已在人工智能与知识发现、模式识别与分类、数据挖掘与故障检测等方面得到了较好应用。

Rough set theory is a new tool dealing with uncertainty. We have found its applications in many areas such as artificial intelligence, knowledge discovery, pattern recognition and classification, and data mining and fault diagnostication.

粗糙集理论是处理不确定知识的一种工具，已在人工智能与知识发现、模式识别与分类、数据挖掘与故障检测等方面得到了较好应用。

Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一，然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点，因此，本研究提出一个梯度预测搜寻法则(gradient forecasting search method， GFSM)来改善传统梯度法的缺点，用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性；而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素，传统统计为基础之预测方法的缺点是需要较大量的数据进行预测，因此计算复杂度高，灰色预测模型具有建模资料少且计算复杂度低等优点，然而灰色预测理论以连续之微分方程式为基础，并且透过一些数学上的假设与近似，将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测，这样的作法不尽合理，且缺乏数学理论上的完备性，因为在转换过程中已经造成建模上的误差，且建模过程仅考虑相邻的两个资料点关系，无法正确反应数列未来的变化趋势。

New categories of data can be added to the database without disruption to the existing system.

数据的新的分类能够加入到数据库中而不破坏现存的系统。

In this paper, 3-D tertiary structure of protein fold was mapped into 2-D distance matrix which can be further regarded as gray level image.

最后应用于27类折叠子分类，对独立集测试的精度达到了71.95 %，对所有数据进行10 交叉验证的精度为78.94 %。

The software makes it possible for traditional paper documents management to be taken place by advanced and effective electronic document image management and meanwhile, provides multiple functions, such as classification, search, reading, PDF conversion and data encryption of the files.

该软件使得传统的纸质文档管理被高级且高效的电子文档图像管理所取代，同时提供多种功能，诸如分类，搜索，阅读，PDF 转换以及文件数据加密成为可能。

PCA is the optimal dimension compression technique based on second order information in the sense of mean square error.

PCA是一种基于二阶统计的最小均方误差意义上的最优维数据压缩技术，FLD是一种较为普遍的用于特征提取的线性分类方法。

The main work and innovation of this dissertation are: 1. The network management domain-specific mobile agent system architecture and mobile agent model are proposed and described in details. The lifecycle of mobile agent is described by using state diagram. The layered security model is introduced. The mobility model is distinguished by the complete and partial one as well as the explicite mobility and implicite one. 2. Aimming at the complexity and heterogeneity of the network, the abstract network entity is presented and defined in details. The mobile agent is also classified and studied from the point of the mobile mechinisim along with the resposibility view. The NMBMA, which the main component is ANE, is put forward and described by using organizational, informationl, computational and implementary model. 3. The two architectures, NMBMA and Client/Server-based one, are compared and analyzed quantitatively and qualitatively. 4. The prototype based on the above NMBMA is designed and some examples are described in the prototype.

主要工作与创新是：提出并详细描述了面向网络管理领域的MAS结构和流动软件代理模型及其内部结构，并采用状态图描述了流动代理的生命周期；提出了层次的安全模型；从数据管理和实现方式两个方面，区分了流动模型即完全流动和部分流动以及显式流动和隐式流动；针对网络的异构性和复杂性，提出了抽象网络实体ANE的概念，并进行了定义；从流动机制和职能两个角度，对流动代理进行了分类研究；以ANE为主要部件，从组织模型、信息模型、通讯模型、实施模型四个侧面描述了NMBMA；定量和定性比较分析了NMBMA与传统的基于Client/Server模型网络管理体系结构；通过一个原型系统的设计和网络管理实例，验证了NMBMA是可行的。

First, a specialist in Emergency medical review the 1,281 charts during June 24-July 8, 2004 to decide syndrome group of each patient, and using it as the golden standard. This study collected CC, ICD-9 code, body temperature, and epidemiological data of 126,675 emergency department patients in five hospitals in Taipei during Oct. 1, 2005-Feb. 14, 2007 to set up Poisson regression for counts time series model and use cumulative sum and exponential weighted moving average for alerting. The Poisson regression for counts time series model controlled age, gender, hospitals, Saturday, Sunday, holiday, daily temperature difference, daily lowest temperature, relative humidity and seasonal factors to predict ILI and AGE cases.

做法上，由专科医师回顾台北市某医院2004年一周共1，281 笔的急诊病患资料进行症候群分类，建立症候群的黄金标准；并收集台北市五家医院2005年10月1日至2007年2月14日共126，675 位急诊病人之主诉症状、ICD-9 码、体温及流行病学相关资料，进行症候群侦测数据分析，以建立波以松时间序列分析预测模式(Poisson regression for counts time series)，且控制重要因子(性别、年龄、医院别、周六、周日及假日效应、日温差、每日最低温、相对湿度及季节)，进行流感及急性肠胃炎个案数之预测。

The second part for 2-5, carried on the detailed treatise to each step of the article frame. Among them, chapter 2 mainly introduces the theories of total value management and real estate, paves the way to analyze the next substances; chapter 3 introduces the basic theories on value engineering and the significance of value engineering application in project decision-making, and finally indicates the processes and methods of value engineering application in project decision-making with particular analysis of a case; Chapter 4 describes the management of customer value, this part use the factorization methods and factorize the factor of customer value, establishes the step analysis evaluation model, use the SPSS software to analysis the data, scooping out the "latitude degree" that concealed, which customers pay attention to. According to these, this part puts forward the factor classification and improvement; Chapter 5 describes the society responsibilities that the real estate enterprises should afford, constructs a system of target about society value management and poses the specific methods of society value management.

第二部分是本文的主体部分，为二到五章，第二章主要介绍了全面价值管理和房地产的基本理论，为下面的分析做好基础；第三章介绍了价值工程的基本原理以及应用价值工程的意义，并通过案例与理论的结合，论述了价值工程在项目决策应用中的程序和方法；第四章介绍了顾客价值的管理，这部分尝试用因子分析方法把顾客价值因素作为变量，建立顾客价值管理的层级评价模型，利用SPSS统计软件对调查数据进行分析，挖掘变量背后掩藏的"纬度"，即顾客关注的大的价值要素，并根据这些要素的重要性提出了价值要素分类以及改进的思想；第五章描述了房地产企业应承担的社会责任，构建了房地产企业社会价值管理指标体系，并指出了其进行社会价值管理的具体办法。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。