查询词典 data mining

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。

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。

Data mining, known as Knowledge Discovery in Databases, is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from a great volume of data accumulations. It uses machine learning, statistical and visualization techniques to discover and present knowledge in a form being easily comprehensible to humans. Data mining is an advanced data processing technique.

数据挖掘是在数据和数据库急剧膨胀的背景下，为解决"人们被数据淹没，但却饥饿于知识"这种困境而产生的，也是数据库技术、人工智能技术、统计技术、可视化技术等发展的结果，其目的就是从大量的、不完全的、有噪音的、模糊的数据中提取出隐含在其中的潜在有用的可信、新颖并能被人理解的信息和知识，它是一种高级的数据处理过程。

However, due to the immense data, heterostructure and multiplicity of data types, complicated data structures in databases are available in the real world, those have made association rule mining face a lot of challenges, therefore, the complete concept lattice model is introduced to the study of association rule mining in the dissertation, and some studies are made on concept lattice model, algorithms, and data reduction etc.

然而，由于现实世界数据的海量、异构和数据类型的多样性、结构的复杂性等特点，对关联规则挖掘的研究提出了新的课题。本文将具有完备特性的概念格模型引入到关联规则挖掘的研究，针对关联规则挖掘的模型、方法以及数据归约等方面开展了研究，主要内容及创新工作如下：1。

Work in this paper focuses on the data mining from chromatographic retention index data. A retention index database that contains about 50000 records of retention index is firstly established. Projection pursuit technique is then utilized to do data mining upon the data in order to find out some valuable information about the relationship between the retention indices and structural descriptors. A novel algorithm for projection pursuit is developed in this work. Samples of alkane, alkene and cycloalkane are investigated.

中文题名化学数据挖掘新算法和定量构性关系基础研究副题名外文题名 New methodology in chemical data mining and foundational research on QSPR 论文作者杜一平导师梁逸曾学科专业分析化学研究领域\研究方向化学计量学学位级别博士学位授予单位湖南大学学位授予日期2002 论文页码总数115页关键词定量构性关系化学计量学数据挖掘馆藏号BSLW /2003 /O6 /2 化学数据挖掘正逐渐引起化学家们的关注。

Traditional data mining techologies used in data mining need to build intrusion detection model in labled data set. The process to lable data set is all by hands, and if the lables have some errors, the efficiency of the intrusion detection system will be affected. Unsupervised anomaly detection methods can detect the anomaly records in unlabled dataset.

传统的面向入侵检测的数据挖掘技术需要在大量的已标记数据集上建立入侵检测模型，数据集的标记过程需要以手工的方式进行，并且如果标记错误，将导致入侵检测系统检测效率的降低。

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。

In a database the concept of an example might change along with time which is known as concept drift When the concept drift the classification model built by use of old data is unsuitable for classify new data Therefore concept drift has become a hot issue in data mining in recent years Although many algorithms had been proposed to resolve this problem they can not provide users with the reason of concept drift However a user might be very interested in such rules For example doctors want to find what makes disease change; researchers want to know the reason of the variety of the weather; and decision makers would like to understand why a customer's shopping habit change In this thesis we propose a Concept Drift Rule mining Tree called CDR-Tree to solve this problem CDR-Tree can not only find the rule of concept drift also build the prediction model for both old and new data at the same time

无论在大型资料库或现实生活中，同一资料样本的概念有可能会随著时间的递移而改变，也就是产生所谓的概念漂移。当样本发生概念漂移时，由旧有资料所建构的分类模组将不再适用於预测新获得的资料，因此，近年来概念漂移已成为资料探勘中一项热门的研究议题。虽然已有？多学者提出不同的技术来解决概念漂移的问题，但是这些方法都是利用修正或重建的方式来产生适合新资料的预测模组，并无法提供造成概念漂移的原因。然而对使用者而言，其感兴趣的可能正是这些引起概念漂移的规则，如医生可能想了解引起疾病变化的主因、学者会想要知道气候转变的规则、或是决策者想找出顾客购物习惯改变的因素等。因此，本论文提出概念漂移规则探勘树( Concept Drift Rule mining Tree )，简称CDR-Tree，来解决这个问题。CDR-Tree不但能探测出造成概念漂移的主要原因，亦能同时建立新旧资料的预测模组以供决策者运用使用。

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。

As of Tuesday, Google's results were still censored in China.

截至周二，谷歌的搜索结果仍受中国审查。

In order to make the positive action increase and negative one decrease, the sub-forces of the social factors must be adjusted to form a centripetal force.

在这一过程中，人的主体性发挥是社会有机体健康发展的灵魂。