数据挖掘的强大力量之一在于它具有广泛的方法和技术，以应用于大量的问题集。
The strong power of the DM rests with the extensive method and technology to apply the large number of the problems.
本文分析了数据挖掘技术的相关领域及其基本问题，为知识获取提供了一种新方法。
In this paper, after making a analysis of the relate field of data mining and its basic questions, we provide a new method for knowledge discovery.
本论文主要讲述数据挖掘中采用粗糙集方法实现数据预处理中冗余属性约简的问题。
This paper mainly discusses topics on solving attribute reduction problems by applying rough set methods in the field of scientific data mining.
针对分布式系统中的数据挖掘问题，提出了一种新颖高效的分布式元挖掘方法。
Aiming at the problem of data mining in distributed system, a novel and effective meta-mining method is presented.
根据这种现状，本文采用了理论研究、数据实验和实地调研相结合的方法来具体研究我国商业银行的数据挖掘应用问题。
Based on the situation, the article introduces a method combining theory research, data experiment and investigating on the spot to research data mining applying problem in our commercial Banks.
针对WEB的数据挖掘中的WEB数据收集问题，设计了一种基于XML的数据收集方法。
Focusing on the web data collection problem in web mining, a collection method based on XML is designed.
针对自动视频分类工作中分类预测精度低的问题，提出了一种集成数据挖掘技术的自动视频分类方法。
This paper addresses the problem that automatic videoclassification has lower classification precision. An automatic video classification approach of integrating data mining is proposed.
数据挖掘是知识发现领域的一个重要问题，粗糙集理论是一种具有模糊边界的数据挖掘方法，它被广泛应用于决策系统的分类规则提取中。
Data mining is an important problem in KDD, and Rough set as a theory of set with fuzzy boundary is widely applied to infer classification rules from decision system.
本文运用理论分析与实证研究相结合的方法，针对数据挖掘在电信CRM中的若干个具体应用问题进行研究。
Aimed at some application problems of data mining in telecom CRM, the thesis takes the study with the methods of theoretical analysis and empirical research.
本文提出灰色系统的理论与方法在物流行业的应用，针对物流企业管理决策的实际问题建立基于灰色系统理论的数据挖掘模型。
This article introduces grey theory into logistics trade, and builds data mining model based on grey theory to solve the practical problem in logistics enterprises' management and decision.
在第二章我介绍了数据挖掘及其相关问题，包括数据挖掘的过程、方法、分类和应用等。
In the second and third chapters it introduces data mining and related problems, including the process, method, classification and application of data mining.
该文针对网管告警数据库中时间序列存在的连续性、不确定性和模糊性问题，提出了一种基于时态关联规则挖掘告警库的新方法。
For the problems of continuity, uncertainty and fuzziness in the time-series of the network management alarm database, this pa-per puts forward a new mining method based on time-series rules.
该文对这类问题进行了详细的讨论，提出了一种基于统计方法的正负时态相关性挖掘算法。
In this paper we discuss this problem in detail and put forward a method of mining positive and negative temporal correlation based on statistics.
该文介绍了使用基于数据挖掘和知识发现的神经网络技术来解决库存问题的方法。
This paper introduces neural networks technology based on data mining and knowledge discovery for inventory problems.
从海量的数据中提取知识和信息是数据挖掘解决的主要问题、对处理数据库的规模不断扩大，而导致信息杂乱的主要方法。
The data extracted from the mass of knowledge and information are the major problems in data mining, processing database of scale unceasingly expands, the main methods to information messy.
根据挖掘机反铲工作装置优化设计中存在的问题，提出了相应的处理方法和对策。
To counter the problems in the optimum design for backhoe working equipment of hydraulic excavator the corresponding measures and strategy are discussed.
对序列问题的预测，提出处理的方法应尊重数据本身规律，不人为的采取另行预处理，以便能挖掘出对象的本质规律。
For problems to forecast sequence, it is important and effective to use data directly and not change them artificially in order to mine true rules of the object.
本文对这些问题提出了怎样将数据挖掘直接集成到用户目标中的方法。
We proposed the ways to integrate data mining techniques into user object directly.
针对训练文本集中往往存在多个主题类别的问题，提出一种基于聚类分析策略的文本偏好挖掘方法。
To solve the problem of multi-topic problem in training documents, an approach which is based on cluster analysis has been introduced.
本文主要就空间数据挖掘方法和空间数据挖掘存在的问题这两方面进行了研究。
The paper researches two aspects that are methods and problems of spatial data mining.
本文将就课题研究中涉及的以下问题：方证相应理论、数据挖掘技术、方证数据的处理、数据挖掘方法等进行论述。
In this article, what are discussed include the pretreatment of data, establishment of data mining methods, analysis and value of the results.
本文从钢铁生产过程的特点出发，将动态数据挖掘运用于质量控制中，阐述了利用数据挖掘解决质量预测问题和质量分析问题的一般方法。
Based on properties of steel manufacture process, use of dynamic data mining in quality control is described. General methods for quality prediction and analysis with data mining are introduced.
该文主要对移动日志数据库不断更新的问题，提出了增量挖掘的方法，挖掘用户的移动模式。
An incremental mining technique is proposed in order to solve the problem of frequent updating of moving log database and mine the user mobility patterns.
基于上述问题，提出了一个基于模糊数值约束的关联规则挖掘方法，实际挖掘结果表明这种方法是有效的。
Based on the above problem this paper presented a method called association rules mining with fuzzy quantitative constraints.
针对网络日志挖掘中的会话切分问题，提出了一种基于时间间隔的方法。
This paper presents a method for session identification based on an analysis of intervals of user access logs.
该方法基于半模糊核聚类算法挖掘不同类别之间的衔接和离散信息，设计树型支持向量机的树型结构，克服其差错积累问题。
The method mines information on overlap between classes, designs the tree structure and overcomes the misclassification of tree-structured SVMs based on the semi-fuzzy kernel clustering algorithm.
目前，面向医学图像的数据挖掘研究刚刚起步，现有的数据挖掘方法直接应用于医学图像还存在许多问题。
Currently, it is at the germ of mining medical image data and there are a lot of problems by applying existing mining methods directly to medical images.
为了从某种程度上解决以上出现的问题，这儿就提出了按自然法则计算方法——确定性退火技术，应用到数据挖掘中。
Thus, the deterministic annealing technique of a new branch of physical computation, which can get over above-mentioned limitation, is applied to data mining.
围绕着分类挖掘中的隐私保护问题展开研究，给出了一种基于数据处理和特征重构的朴素贝叶斯分类中的隐私保护方法。
This paper focuses on privacy preserving classification, and presents a privacy preserving Naive Bayes classification approach based on data randomization and feature reconstruction.
围绕着分类挖掘中的隐私保护问题展开研究，给出了一种基于数据处理和特征重构的朴素贝叶斯分类中的隐私保护方法。
This paper focuses on privacy preserving classification, and presents a privacy preserving Naive Bayes classification approach based on data randomization and feature reconstruction.
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