数据挖掘

For subjective interestingness measure, templates are used to differentiate the rules interested to the users or not.

引 言目前，数据挖掘技术受到科技界的广泛关注，关联规则挖掘是数据挖掘的一个重要内容。

Nowadays, limited memory can not satisfy the requirements of constantly increasing data.

由于计算机的内存有限，数据窗口技术只针对最近的数据，而最近的数据常常导致数据挖掘系统中的分类器过配，文中介绍了解决这一问题的方法，并讨论了数据流挖掘技术的应用。

The first solution is how to set up the CRM system in enterp

第一个阶段的解决方案是如何从无到有来建立企业的CRM系统，第二个阶段的解决方案是对已有CRM系统并积累了大量客户交易原始数据的企业如何进行数据仓库的建设和数据挖掘，并在企业运作中应用数据挖掘的结果来提高企业的运作效率。

It analyzes and researches the data pretreatment in Web log mining, the data pretreatment technology of the Web log data Mining being analysis and implementation,that is Pre-work of data mining in associational rules and clustering algorithm.

分析研究传统的数据预处理过程，在Web日志的数据结构挖掘中的数据预处理技术进行了分析与实现，是实现关联规则与聚类数据挖掘的前期工作。

Association rule is an important content in data mining, efficient arithmetic is the most important part of data-mining 昺odel, especially when facing the complicated and various demands, it is necessary to propose characteristic and complementary arithmetic according to different factors. The paper analyses elaborately the idea of association rule mining arithmetic based on constraints, studies the classes of constraints in order to confirm its utility. The arithmetic aiming at united variable constraints improvement strategy and exchange of complication aggregation constraints has been designed, the practice has proved that it is effective.

关联规则是数据挖掘研究的重要内容，高效的算法是数据挖掘的重要组成部分，而且面对复杂的多方面的需求，应提供针对各种因素的各具特色的互补的多种算法，本文详尽地研究了基于约束的关联规则挖掘算法的思想，深入地研究了约束的分类、确定其可利用的性质，在此基础上提出了针对联合约束中前驱和后继重叠时的改进策略和复杂聚集约束的转换方法。

The main contributions in this thesis are as follows: 1 A "detection prevention-data fusion analysis and data mining- response " layered prevention model based on multisensor data fusion and data mining is proposed, and the systematic structure and system protype are provided.

本论文在项目开发中承担和完成的工作主要有： 1）参与了原型系统的总体方案的设计与论证，提出了一种&检测防御—数据融合分析和数据挖掘—响应&多检测器数据融合和数据挖掘入侵防御模型。

Data mining technology has become riper by the research of ten and more years.

而经过十多年的研究，数据挖掘技术已较为成熟，因此近年来研究的重点转为挖掘技术的应用，商务作为数据挖掘的主要应用领域，对知识的需求尤为显著。

To study the customer behavior by carrying out Customer Relationship Management in enterprises, we use some relative technology and method of decision tree of data mining to propose a kind of UPTree algorithm of data Mining, which is used to mine a great deal of information hidden in customer behavior.

为了解决在企业中实施客户关系管理，CRM系统中客户行为的定量研究问题，利用决策树的数据挖掘相关技术和方法，提出了UPTree数据挖掘算法，并采用UPTree算法对隐藏在大量客户行为中的信息进行挖掘，从而获取了CRM系统中潜在的客户行为规则，并给出这些行为规则的IF-THEN的描述形式，为企业的科学决策提供依据。

The basic concept and general knowledge of data mining were given firstly, and the characteristics and research methods of data mining procedure were explained based on the test-driving database of WS9 aero-engines. Rough set and decision tree, these two classification mining methods were used to extract decision rules, regression analysis was utilized to find the relationship between variables, and the tendency also was predicted.

论文阐述了数据挖掘技术的基本概念和一般知识，分析了基于WS9发动机试车数据库数据挖掘的特点和研究方法，选择了粗糙集和决策树分类挖掘方法提取决策规则，利用回归分析方法发现变量之间的函数关系，并进行趋势预测。

Finally, the thesis defines the steps of implementing data mining, cognizes and summarizes the problems existed, and validates the feasibility that data mining can be used in the customer knowledge management, through a practice of excavation cluster analysis in a case of Grand Hotel client knowledge acquisition.

最后，通过在军山大酒店的客户知识获取应用实例中挖掘聚类分析的实践，明确了在客户知识实施数据挖掘的步骤，认识和总结出实践中出现问题，验证了数据挖掘方法在客户知识管理中运用的可行性。

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。