联机分析挖掘

With the development of these technologies, on-line analytical processing mining, the amalgamation of these techniques has generated.

随着三种技术的发展又出现了它们的融合：联机分析挖掘处理技术。

But the internal relation and connotative information of the data attributes can not be obtained, i.e.

数据仓库、联机分析处理和数据挖掘技术的发展为解决这一问题提供了有效途径。

It has been applied for characteristic analysis of bank card client, and obtained good results. Parallel reduction algorithm can further improve the efficiency of the combined method.

四、以上述研究内容为基础，论述基于数据仓库的联机分析挖掘平台SEI_OLAM及其在地区电力调度决策分析和银行卡分析领域中的应用。

Based on the basic concepts of data mining , this dissertation compares and analyses the differences of data mining and other methods such as KDD and OLAP , classifies and summarizes the objects of data mining , the findable patterns and the common techniques in detail .

在介绍数据挖掘基本概念的基础上，对数据挖掘与传统分析方法，数据库中的知识发现和联机分析处理做了深入地分析和比较，对数据挖掘的对象，可发现的模式进行了详细地分类，归纳和总结，对数据挖掘常使用的技术做了介绍和分析。

OLAM technology which is the future development of data warehouse applications is the outcome of the two technologies'combination. The transformer status information should be used synthetically for condition evaluation.

OLAM技术是这两种技术相结合的产物，它兼有联机分析处理技术的多维分析的在线性、灵活性和数据挖掘技术对数据处理的深入性，是数据仓库应用工具未来发展的方向。

On the basis of research involved in this thesis, an online customer analysis mining system based on data warehouse was designed and realized with the theories combined with a certain company. The analysis module and algorithm model can be integrated into the system, which can realize customer lifetime value, customer loyalty and customer credit, divide the customers, analyze the product sales rules deeply, and realize the visualization of OLAM analysis.

在全文研究的基础上，将所得结论结合某企业的产品销售，设计并实现了一个基于数据仓库的联机客户分析挖掘系统，将上述的分析模块和算法模型集成到系统中，实现客户的终生价值、资信计算及客户忠诚度预测，对客户进行细分、深入分析产品销售规律，并能实现OLAM的可视化分析。

A data precessing method is provided through constructing the power transformer fault information data warehouse, based on analyzing and reorganizing the various existing data sources, the transformer failure diagnosis and early failure predication can be benefit from OLAP (On-Line Analysis Processing) and data mining technology.

为了进行变压器状态和故障自动预测，以及便于维护人员对于变压器状态进行人工预测，提出了构建电力变压器数据仓库的数据处理思想，在对有关变压器信息的多种数据源进行分析和重新组织的基础上，利用联机分析处理和数据挖掘技术，可对变压器故障诊断和早期故障预测起到积极作用。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。