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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。

In this way a new research model:frequent structure vector model derived the expression of document structure vector and weight function and constructed the calculate formula to measure similarity of the two documents. In order to improve the efficiency of mining frequency subtrees in a forest reformed the algorithm TreeMiner from data structure and miner procedure to fit to minning structure in large documents.

该方法架构了一个新的检索模型—频繁结构向量模型,给出了文档的结构向量表示和权重函数,构造了XML文档结构相似度量计算公式;同时从数据结构和挖掘程序上对TreeMiner 算法进行了改进,使其更适合大文档数据集的结构挖掘

The modeling and materialization for spatial data cube have import influence on the speed and equity about analysis and mining of spatial OLAP and spatial OLAM.

空间在线分析和空间在线分析挖掘是建立在空间数据仓库之上的,空间数据立方体的建模和物化选择问题对于SOLAP和SOLAM的分析挖掘的速度与质量是至关重要的。

The second chapter analyzes the characteristics of natural and unnatural death under the personal experience, and further excavates the deeper aesthetic meaning behind death, embodying that after personal humanity awakens, literature deals with the depth of the essence of death and polybasic exploration in the field of death aesthetics.

第二章分析了个人体验下本真死亡的直观性和人之非本真死亡的特征,并进一步挖掘了这一死亡特征之后的深层审美意味,体现了文学在个人人性苏醒之后,对死亡本质的深度思考以及对死亡审美领域的多元挖掘

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。

How the great capacity of customer data resource which come from the accumulation of running CRM system is used and how advanced data mining technologies are utilized to fully mine the customer requirement, to improve business saleroom, to enhance customer service level and to boost companies' power of core competition, which has become a focus problem that impact telecom companies' further development.

随着国内电信业市场竞争的加剧,面对日益激烈的资费竞争,电信运营商如何运用现有的客户关系管理系统积累的海量客户数据资源,利用先进的数据挖掘技术,充分挖掘客户需求,提高业务营销、客户服务水平,提高企业核心竞争力,已经成为电信企业进一步发展的焦点问题。

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。

It first introduce the destination of data mining, the main techniques, system structure and running process, then describes basic theories and Apriori algorithms of association rules mining particularlly, through analysis and explanation, it refers to confidence and supportance.

它首先介绍了关联规则挖掘研究的现状以及研究的目的和意义,并给出数据挖掘的体系结构和运行过程。

In order to achieve frequent patterns effectively and rapidly,skip the approach of reconstructing pattern tree through common path ,and make the most of level structure and depth-first search,thus directly mine frequent patterns from the unmined original semi-structured data.

为了有效快速地得到频繁模式,通过公共路径舍弃中间重新构造模式树的步骤,充分利用层次结构和深度优先遍历,提出了直接从待挖掘原始半结构化数据中挖掘频繁模式的算法。

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。

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在对危险的南部地区访问时,他斥责什叶派民兵领导人对中央集权的挑衅行为。

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