数据挖掘

Introduce the several technology of data mining, compare two data mining arithmetics and propose some problem that should be resolved.

介绍了数据挖掘的几种技术，比较了两种数据挖掘的检测算法，提出了检测算法需要解决的问题。

The results show that the combinative method of OLAP and deep-seated mining technologies will be a trend of data mining development.

结果表明，将OLAP和数据深层挖掘技术紧密配合、协调使用将是数据挖掘发展的一个方向和趋势。

The guide principles to resolve techno-problems in clinic rational administration of drug is Evidence-based Medicine, in which the main research methods are random contradistinguish research, system evaluation, clinic direction and so on.

本文通过对数据挖掘中关联规则挖掘技术、数据预处理技术和专家系统的深入研究，根据我国医疗卫生部门信息化发展的现状和趋势，结合临床医疗活动的特点，提出一种基于临床合理用药的药物治疗专家系统模型，并对实现进行了探索。

In order to make good use of the advanced technology of data mining, two kinds of classifiers (C4.5 decision tree and support vector machine, SVM) from data mining are improved.

3为了有效地利用数据挖掘的先进技术，对数据挖掘中两种分类方法C4.5决策树以及SVM进行了改进。

That is to say, there appears a new direction in data mining field: visual data mining.

因此，数据挖掘领域中产生了一个新的方向：可视化数据挖掘。

After a brief summary on data mining and rough set theory, the research works in the thesis can be descript as follows: 1. To the problem that finding rules in enormous data is very timeconsumable and the expansibility of existed algorithms is not very good, the thesis proposes a new method to discompose large data table based on the concepts of positive region and the importance of attribute in rough set theory.

Rough集理论是一种新型的处理不确定性知识的数学工具，围绕着数据挖掘领域存在的问题，本文利用Rough集理论与Rough分析工具，提出若干解决方案，同时在具体处理问题过程中引入了信息理论、因子分析等方法，与Rough分析结合使用，讨论了Rough集技术在知识发现、关联规则挖掘、模式分类以及数据清洗等问题中的应用。

It discusses four classical mode of DM and some common mode based on KM method and technology.

讨论分析数据挖掘的四种典型的模式以及常用的数据挖掘技术和方法。

Outlier data mining is an important embranchment in data mining research.

离群数据挖掘是数据挖掘研究的一个重要分支。

So, in order to excavate specific types of data, specific data mining system should be constructed.

因此，为挖掘特定类型的数据，应当构造特定的数据挖掘系统。

Data mining is the procedure to get novel, interesting and potentially useful information from large database, which can help us to acquire knowledge and rules. It is a brand-new subject and research direction which is widely used in financial, retail trade, telegraphic communication and research on structure of the genic sequence.

数据挖掘是从大量数据中提取人们感兴趣的、事先未知的、潜在的有用信息，而挖掘出某种知识和规则的过程，它是一个全新的学科和研究方向，在金融业、零售业、电信业以及基因序列组成研究等领域获得了广泛的应用。

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。