这种方法使用了基于密度的孤立点挖掘的主要思想，用克隆选择算法进行数据立方体搜索。
It is a dense-based method and the low-dense data cubes are searched by clonal selection algorithm.
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.
设计了一种基于数据挖掘方法的邮件过滤器系统原型，并给出了这个系统原型的实现方法。
This paper designs an system structure for spam filter which based on data mining, and provides the effective way to implement this spam filter system.
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.
本文介绍一种基于BP神经网络的数据挖掘的分类方法，并提出了改进思想。
This paper presents a classification method for data mining based on BP neural network, and puts forward improvement ideas.
提出了一种基于神经网络和粗集的数据挖掘新方法。
A new method of data mining based on rough set and neural network is proposed.
基于数据挖掘技术的客户关系管理系统由数据存储和综合、多维数据分析、数据挖掘、模型库、方法库组成。
The Customer relationship management system based on data mining technique consists of data storage and colligation, multidimensional date analysis, data mining, model storage, method storage.
支持向量机是基于VC维和统计学习理论理念的数据挖掘中的一种新方法。
Support Vector Machine is a new method based on the idea of VC dimension and Statistical Learning Theory in data mining.
本文分析了影响入侵检测精确度的因素，提出了一种基于数据挖掘的有效提高精确度，降低伪肯定率的入侵检测方法。
In this paper, factors affecting the detection rate are analyzed and a method of intrusion detection system that can effectively improve precision and decrease false positive rate is presented.
针对存在不完整、含噪声和不确定数据的数据库，通过挖掘高质量的决策，对数据库的数据进行推理，提出了一种基于EM算法的数据清理方法。
This article proposes a data sorting method via the EM algorithm, for the purpose of mining high-quality decisions by performing data reasoning in a database with incomplete, noisy and uncertain data.
相容算子是一类将一般关系转化为相容关系的操作，这也拓展了基于相容关系的数据挖掘方法的应用。
Tolerence operators are kind of operations converting general relation to compatibility relation, it also extends the application range of the compatibility relation-based methods for data mining.
一种解决的方法就是用图的形式表示这些领域的事务，然后利用基于图论的数据挖掘技术发现频繁子图。
An alternate way to solve these problems is to represent the transactions of those domains by graph, and find the frequent subgraphs by using graph-based data mining techniques.
实验表明，基于混合遗传算法的分类规则挖掘方法能够从数据集中发现一个简洁、准确、易理解的规则集。
Experiment shows that the classification rule mining method using hybrid genetic algorithms can find a set of the succinct, accurate and comprehensible classification rules.
文章通过对聚合表技术的研究和分析，把该技术应用于基于ROLAP的数据挖掘中，既充分发挥了RO - LAP方法的优势，又克服了其查询效率低的最大弱点。
Though the research of aggregation table, and applied the techniques in data mining of ROLAP, not only fully displayed ROLAP superiority, but also overcome its biggest weakness of inquiry efficiency.
另外，作者提出了基于分类正确度的粗糙集模型，该模型已用于作者研制的数据挖掘方法MIE-RS上。
The thesis also examines the rough set model based on classification accuracy. The MIE-RS data mining approach given later is based on the model.
最后，论文基于数据挖掘的理论和知识工程的增量式开发方法研制了运行优化数据检验软件和优化目标值挖掘软件。
Finally, data validation and optimization value finding software is made and integrated into UPOS according to the theory of data mining and knowledge engineering.
本文利用数据挖掘的思想，结合SAS系统所提供的一些成熟的数据挖掘方法，建立了基于J2EE的数据挖掘的洪峰预测系统。
This paper brought forward a forecast system that based on J2EE combining the spirit of data mining and some improved data mining methods supported by SAS system.
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.
针对云理论在空间数据挖掘和知识发现中的应用，提出了基于半云和梯形云的空间距离概念的划分方法。
This thesis presents its application in spatial data mining and knowledge discovery, and focuses on the cloud models and their algorithms.
基于相关集合事务数据库这一挖掘思想，提出一个新的方法——寻找最大频繁集。
In this paper, we mainly discuss a new method-to find a maximum frequent set based on the mining of relative set transaction database.
基于建立的客户数据仓库，介绍了查询与报表、OLAP分析和数据挖掘等客户数据分析方法。
Based on the customer-centric data warehouse, several methods for customer data analysis, such as query and report, OLAP and data mining, are introduced.
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.
提出了基于联合数据挖掘技术的电力负荷优选组合预测方法。
Based on the united data mining techniques, a new method of optimum combined forecasting of power load is suggested.
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.
介绍了基于案例推理的数据挖掘技术及其实现方法，以此为依据建立体检信息分析的数据挖掘模型。
Introduced the case-based reasoning of data mining technique and the realized method, took this as the basis to build up the data mining model of the body detection information analysis system.
针对传统数据抽查方法很难保证数据抽查有效性的缺点，结合离群数据挖掘，给出了一种基于离群数据挖掘的数据抽查新方法。
A new method of data spot checking based on outlier mining is proposed, which promises a solution to the lack of validity using traditional data spot checking method.
基于数据挖掘的医学图像分类方法研究是多媒体数据挖掘的一个重要组成部分。
Data mining based medical image classification methods is an important component of multimedia data mining.
提出了基于探索性分析的时序数据挖掘方法，采用线性回归技术建立了数学模型。
A way of time series data mining was put forward based on the exploratory analysis and the mathematics module was founded by way of using linear regression technology.
提出了基于探索性分析的时序数据挖掘方法，采用线性回归技术建立了数学模型。
A way of time series data mining was put forward based on the exploratory analysis and the mathematics module was founded by way of using linear regression technology.
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