数据挖掘

The data mining languages can be divided into three types: Inquire language, modeling language and all-purpose language. The first stage of data mining language is inquire languages, PMML is a modeling language, OLE DB for DM is a all-purpose language.

数据挖掘语言可以分为三种类型：查询语言、建模语言和通用语言，第一阶段的数据挖掘语言一般属于查询语言，PMML属于建模语言，OLE DB for DM属于通用语言。

Decision-tree arithmetic based on data mining technology was applied for the data in HIS.

应用数据挖掘技术的决策树算法对HIS中的数据进行挖掘。

First of all, the Examinatorial Source Mining System concept on the basis of summarizing the Data Mining theory was introduced. Then the problems facing in Distance Education were analyzed and raveled out.

本文介绍了考试资源挖掘系统的相关概念，分析了当前远程教育中考试资源挖掘面临的学生个体差异、事务粒度过粗、数据挖掘算法改进等问题，并详细讨论了这些问题的解决办法，给出了考试资源挖掘系统的设计方案。

After reading and integrating lots of correlative science and technology books, the domestic and international research on CRM is summarized, and then the system frame is built. The conception of relative degree is proposed in the theory, which involves some methods in economics, such as the lifecycle curve of product or technology and the principle of time sequence, and so on. So the foundation for researching the system is built. Applying the technology of data warehouse and the correlative arithmetic of data excavating and method for classifying the clients, the resource analysis module is built,and the problem of data disposing and service management is resolved. The clear relationship of clients and sale strategy is obtained and the valuable client resource is grubbed up by analyzing the information of the clients. The enterprises will gain more clients and businesses opportunity, accordingly, the effect of less investment and more output.is attained.

通过阅读与综合大量相关科技文献，总结和剖析了当前海内外对于CRM理论的研讨现状，在此基本上树立了体系概念和总体框架；提出了裙带度的概念，融入了经济学中的产品或技术性命周期曲线、时光序列原理等方式，为体系的研讨打下了理论基本；采取数据仓库技术、数据挖掘的相关算法以及客户分类方式，构建了资源剖析模块，从而解决了数据处置和服务管理题目；通过对客户信息剖析与处置，得到清楚的客户关系和营销策略，可以挖掘出有价值的客户资源，将有助于企业得到更多的客户和商机，到达少投入、高产出的后果。

Furthermore, it can not define indiscernibility relationship when default data is included in rough data. In this dissertation, a new rough set model, which can be used to process original data which include default data, fuzzy data, or incomplete data, is proposed based on clustering methods.

本文从实际应用中存在缺值、不完全和噪音数据等问题为出发点，结合人机交互技术中数据挖掘的应用，研究分析了数据挖掘中的一些理论与方法，取得了以下主要研究成果： 1。

While classical data minning approaches look for patterns in a single relation, multi-relational data mining approaches look for patterns that involve multiple relations from a relational database.

传统的数据挖掘方法只能完成单一关系中的模式发现，多关系数据挖掘能够从复杂结构化数据中发现涉及多个关系的复杂模式。

The data excavation process comprises: extract required data from Chinese medicine data resource first, then excavate senseful frequency model in the data and make semantic labels, extract and reason the generalized rules according to the labeled model.

其中的数据挖掘过程包括：首先，从中医方剂学数据源中提取所需数据，其次，在数据中挖掘有意义的频繁模式并进行语义标注，最后，根据被标注模式进行泛化规则的提取和推理。

This paper emphasized on discussing the technology of data mining in CRM. Data mining has the characteristic of distilling unknown and useful information and knowledge from mass and unperfected data. This characteristic is used to analyze the gigantic database in order to find good patterns which can forecast the client's purchase action, help the corporations solve any problem emerged in the mutual actions between the corporations and clients, guide the corporations to make reactions to the protean markets.

讨论了面向CRM的数据挖掘技术，在CRM实施过程中，运用数据挖掘能够从大量的、有噪音的数据中发现潜在的、有用的知识的特点，对CRM的庞大数据库进行分析，从中发现能够预测客户购买行为的模式，用以解决企业同客户进行交互活动时遇到的各种问题，指导企业对瞬息万变的市场做出及时的反应。

Data mining algorithms such as clustering and decision tree are used to find relationship between amount of investment and period of the project, and amount of investment and bill of quantity. By the help of data mining, we find the key of a project and then optimize the crucial path of the progress.

以这些数据作为挖掘的基础，在数据仓库环境里，针对石化安装工程的特点运用聚类和决策树等算法，研究了投资额和工期之间，投资额和工程量之间的关系，通过数据挖掘找出影响工程进度的关键因素，优化的关键路径，从而提高施工效率。

With this measure, a new method for calculating the minimum embedding segment dimension of a linear segment sequence is proposed. With this method, the MESD of the linear segment representation of a real financial time series is calculated.

该方法实现了对时间序列的基于基本变化形态的合理分割，保证转换后的每一个符号都能代表一个基本的、相对独立的变化模式，为最终挖掘结果的有效性和可视化提供保证；同时，针对数据挖掘数据量大，对算法的计算效率和在线性能要求高的特点，提出了一个实现时间序列分段线性化的增量式更新算法；并利用神经网络模糊聚类算法实现了完全数据驱动的在线聚类分析。

Cynanchum Lingtai apricot production in the average weight 65 grams, the brightly-colored fruit, juicy rich, sweet-sour taste, sweet from the nucleolus, when the late Qing Dynasty famous Shaanxi, Gansu provinces, the Qing imperial court Tongzhi tribute for years.

灵台生产的牛心杏平均单果重65克，果实色泽鲜艳，汁多味浓，甜酸适口，离核仁甜，清末时就驰名陕、甘两省，清同治年间曾为朝廷贡品。

Chenopodium album,Solanum nigrum, and Amaranthus retroflexus were very susceptible to the herbicides. Polygonum persicaria and Abutilon theophrasti were relatively less susceptible to the herbicides, and Lycopersicon esculentum was not susceptible to it. The relationship between reduction rates of weed biomass and PPM values of weed leaves 2,4, and 6 days after treatment was established.

供试的6种杂草对该混剂的敏感性存在显著差异：红心藜Chenopodium album、龙葵Solanum nigrum和反枝苋Amaranthus retroflexus对该混剂最敏感，ED90值分别为47.65、71.67和29.17g/hm2；春蓼Polygonum persicaria和苘麻Abutilon theophrasti敏感，ED90值分别为96.91、114.20g/hm2；而番茄不敏感。