讨论了松散耦合的分布式信息系统中的数据挖掘问题。
This paper discusses the problem of data mining in loosely coupled distributed information systems.
本文主要研究大型港口机械结构安全运行中的数据挖掘问题。
This paper is concern about the data mining research in the safe structure operation of the large port machine.
它可以进一步应用到无冗余关联规则发现、序列分析等许多数据挖掘问题。
It can be used in the discovery of non-redundant association rules, sequence analysis, and many other data mining problems.
该模型具有良好的扩展性，可以更有效的面向问题的解决各种数据挖掘问题。
The model with excellent expansibility orients problems more effectively, solving all kinds of problems of date mining.
本文我们使用信息论技术定义了几个数据挖掘问题，提出了相应的挖掘算法。
In this thesis, we propose some data mining problems based on information theory, and develop techniques for these tasks.
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.
针对数据挖掘问题，将直觉模糊集与神经网络理论相结合，提出一种新的方法。
A new method was proposed for data mining problem which integrated intuitionistic fuzzy set and neural network theory.
分析了数据库中“贫”信息数据的特点，以及“贫”信息数据挖掘问题的要求。
The characteristics of "poor" information in database and the requirement of "poor" information data mining are analyzed.
频繁模式挖掘是最基本的数据挖掘问题，由于内在复杂性，提高挖掘算法性能一直是个难题。
Frequent pattern mining is a fundamental data mining problem for which algorithms still suffer from inefficiencies because of the inherent complexities.
该文讨论了该功能对于仓库环境的隐含意义，并介绍了在解决OLAP和数据挖掘问题方面的应用。
This article discusses the implication of this feature to warehousing environments, and application to solving OLAP and data mining problems is covered.
提出了在分布式环境下对于每一层使用不同支持度的多层关联规则挖掘问题及其算法DMARM。
This paper presents a multi-level association rules mining algorithm DMARM which can be used in distributed environments. It can apply different thresholds at different levels.
最后对基于MADSPM模型的流数据关联规则挖掘问题中需注意的一些问题进行了阐述与分析。
Finally the problems in applying the MADSPM model to association rule mining in stream data are discussed and the strategies for solving them are also given.
进化计算模型不需要太多领域知识和建立先验模型，在处理复杂的数据挖掘问题中得到了广泛的青睐。
Among various data mining technologies, Evolution Computing has been widely applied in complex problem handling because it requires little field knowledge and no prior model.
本文以标记有序树作为半结构化数据的数据模型，研究了半结构化数据的树状最大频繁模式挖掘问题。
In this paper, labeled ordered tree is used as the data model of semi structured data, the problem of maximum tree structured frequent pattern mining from semi structured data is studied.
在大型数据库项目之间发现关联规则是一个重要的数据挖掘问题，而挖掘出的关联规则数目常常是巨大的。
Discovering association rules between items in a large database is an important data mining problem as the number of association rule is usually very larger.
本文针对时间序列的数据挖掘问题，研究了将时间序列转化为趋势序列，以及趋势序列中的数据挖掘问题。
Focusing on the problem of data mining in time-series, did research in transforming time-series to trend sequences and methods of performing data mining in acquired trend sequences.
在归纳现有关联规则研究的基础上提出了事务间数值型关联规则的数据挖掘问题，并对该问题进行了定义。
Based on the summarization of data mining research, the problem of mining inter-transactional quantitative association rules are brought forward and defined in this paper.
在大型数据库项目之间发现关联规则是一个重要的数据挖掘问题，而挖掘出的关联规则数目常常是巨大的。
Discovering association rules between items in a large database is an important data mining problem. The number of association rules is usually very large.
将有序规则的挖掘问题加以形式化，挖掘有序规则即要找到各个属性产生的排序与对象整体排序之间的关系。
The problem of mining ordering rules as finding association between orderings of attribute values and the overall ordering of objects is formulated.
本文的主要工作和结论如下：（1）对于分布式关联规则挖掘问题，目前的主要算法是CD算法和FDM算法。
The dissertation brings about conclusions below:(1) The FDM and CD are main stream algorithms for mining association rules in distributed databases.
具体而言，本文主要针对社会网络中的实体匿名问题，最短路径查询问题，以及社团挖掘问题进行了深入研究。
Specifically, this dissertation mainly focuses on the problems of identity anonymization, shortest path query, and community detection in social networks.
对关联规则挖掘问题建立了完全格描述并给出了问题规模下限，提出了一种基于搜索空间划分的项集频度计算模型。
The problem of mining association rules with lattices is descried and the lower bonds of the problem′s are gained.
数值型关联规则的算法大多是将多值属性关联规则挖掘问题转化为布尔型关联规则挖掘问题，而连续属性的离散化是数值型关联规则的核心问题。
Most quantitative association rules transform mining association rules of numeric property into boolean property, and the kernel problem is to divide the numeric data into intervals.
文章对网格数据挖掘中的关联规则挖掘问题进行了探讨，给出了两种实现方案，一是采用局部-局部的通信模式，各个站点的通信负载比较均衡；
Mining association rules in grid data mining is discussed and two solutions are presented. One uses the communication mode of local-local to balance the burden of communication among local Web sites.
存在非法挖掘的问题，这导致博物馆级别的作品被卖给出价最高的人。
There is the problem of illegal excavation, resulting in museum-quality pieces being sold to the highest bidder.
经过长达7年的挖掘，多佛的船得到了保护和展示，但有些问题显然不能只通过研究陈旧的木材来解决。
Within seven years of excavation, the Dover boat had been conserved and displayed, but it was apparent that there were issues that could not be resolved simply by studying the old wood.
我们希望能够回答您所有关于数据挖掘的初级问题。
We hope to answer all of your initial questions about data mining.
要想恢复自己，你的工作就是要把潜在问题挖掘出来，和它签订停火协定。
Your job in recovery is to try to dig that up and sign an armistice treaty with it.
要想恢复自己，你的工作就是要把潜在问题挖掘出来，和它签订停火协定。
Your job in recovery is to try to dig that up and sign an armistice treaty with it.
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