查询词典 data mining

At present, the researches of data mining majority focus in the arithmetic of data mining and pay little attention to the quality questions of source data.

目前，数据挖掘的研究工作大多数着眼于数据挖掘算法上而很少关注源数据的质量问题。

In the method of data analysis, the paper researches application of data mining and knowledge database, then design frame of data mining automatism class engine and knowledge decision.

在地面子系统的数据分析方法中，本文着重分析了数据挖掘技术和知识库系统在地面子系统的应用，并设计了数据挖掘自动分类引擎和知识决策的总体框图。

And, a data mining model for the SMS crime which integrates searching, retrieval, interpretation, deduction, selection, classification, statistic and analysis functions will be proposed. Applying the crime detective data which produce by the data mining model, the efficiency and quality of SMS crime detective operations can be improved.

本文针对行动电话简讯犯罪的行为进行了解与剖析，且深入探讨简讯犯罪过程中所留下的犯罪资料，进而整合犯罪资料的搜寻、撷取、解译、推导、筛选、分类、统计与分析等功能，提出一套行动电话简讯犯罪资料探勘模式，以具体提升行动电话简讯犯罪侦查作业的执行效率与品质。

Along with time fast vicissitude, the former information is not easy the seal society which circulates, gradually transforms the open society which the information explodes. All information could get by information science and technology. For example, the television, broadcast or Internet and so on.But so huge information quantity has surpassed the limit which the people brains can process.Therefore, how to avoid "GIGO", needs to depend on the information science and technology to solve. Data Mining is a very good method. The goal is extracts particular and useful information or knowledge of users from huge data. And data mining may divide into very variously, this paper is does take "Sequential Pattern" as the research subject.

随著时代的快速变迁，以往资讯不易流通的封闭性社会，逐渐转变成资讯爆炸的开放性社会，所有的资讯，皆可由电视、广播或是网际网路等资讯科技来获得，但如此庞大的资讯数量，已超出了人们头脑所能处理的极限，所以如何避免「GIGO」，需要靠资讯科技的技术来解决，「资料探勘」即是其中一个，目的就是要从巨量的资料量中，粹取出使用者所特定、渴望的资讯或知识，而资料探勘可分为很多方面，本篇论文是以「序列型样」来做为研究的主题。

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。

The paper summarizes theories and practices concerning data mining at the beginning. According to actual conditions of data forecasting, the paper particularizes two basic tasks in data mining, namely, exploring data analysis and forecasting modeling for classification, and employs them in load forecasting practically. Then a special short-term load-forecasting arithmetic is forwarded based on the former work, which can efficiently take into account weather effects on the load, and hence improve the accuracy of load forecasting.

本文概述了数据挖掘技术的有关内容；并针对负荷预测的实际情况，详细介绍了数据挖掘中的两个基本任务：探索性数据分析和用于分类的预测建模，并将其运用于负荷预测之中；根据所得结果提出了一种基于数据挖掘的短期负荷预测算法，该算法能够有效的考虑气象因素对负荷的影响，从而提高了负荷预测的精度。

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。

This article not to the data mining theory and the modeling method and so on make excessively many elaborations, also does not have the logarithm to make the meticulous discussion according to the warehouse construction aspect, but is puts with emphasis on in the data mining model choice and the design, in overseas had the research in the foundation, in the union corporate business analysis actual need, proposed the AVON company's customer value, the customer retention and the customer thin classify three data minings model; And executed has implemented the questionnaire survey and the method collection research data to various exclusive agencies customer which unified to member's telephone investigation, has carried on the confirmation and the appraisal in SQL Server 2,000 Analysis Service to the model.

本文没有对的数据挖掘理论及建模方法等作过多的阐述，也没有对数据仓库建设方面做过细的探讨，而是将重点放在数据挖掘模型的选择与设计上，在国外的已有研究的基础上，结合公司业务分析上的实际需要，提出了雅芳公司的客户价值、客户保持和客户细分等三个数据挖掘模型；并施行了对各专卖店的顾客实行问卷调查和对会员的电话调查相结合的方法收集研究数据，在 SQL Server 2000 Analysis Service中对模型进行了验证与评价。

ABSTRACT Data mining is an important area in KDD, and mining association rules in large databases is a critical aspect of data mining resea...

数据挖掘是当前KDD中的一个重要领域，而关联规则的挖掘是数据挖掘的一个重要组成部分。

With Death guitarist Schuldiner adopting vocal duties, the band made a major impact on the scene.

随着死亡的吉他手Schuldiner接受主唱的职务，乐队在现实中树立了重要的影响。

But he could still end up breakfasting on Swiss-government issue muesli because all six are accused of nicking around 45 million pounds they should have paid to FIFA.

不过他最后仍有可能沦为瑞士政府&议事餐桌&上的一道早餐，因为这所有六个人都被指控把本应支付给国际足联的大约4500万英镑骗了个精光。