数据挖掘技术被用于分析个人的购买习惯。
本文将讨论四种常用的数据挖掘技术中的最后一种：最近邻。
This last article will discuss the last of the four common data mining techniques: Nearest Neighbor.
您可以添加充分利用了我们到目前所学的全部数据挖掘技术的报告。
You can add reports that take advantage of all the data mining techniques we've learned so far.
最后，运用数据挖掘技术对模型中的关键技术加以实现。
Finally, we implement the key technique in the model using data mining.
大型、复杂的数据集将传统的数据挖掘技术推向新层次的处理要求。
Large, complex data sets escalate traditional data mining techniques to new levels of processing demand.
数据挖掘技术：市场营销，销售和客户关系管理，第3版。
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, 3rd Edition.
他们能够将数据挖掘技术应用到医学和生物学领域中的大型数据库中。
They can apply the data mining techniques for very large databases that they learn to research in the medical and biotechnology industries, along with many others.
数据挖掘技术是克服目前入侵检测系统局限性的一种有效方法。
Data Mining technology is an effective method for overcoming the limitation of current IDS.
如何将数据挖掘技术应用在零售业领域正是本文研究的重点问题。
How to put the technology of Data Mining into the field of retail industry is the key of this thesis.
我们讨论了数据挖掘技术，在工业界的应用，以及未来的商业价值。
We discussed the data mining technology in the future, and application of industry of commercial value.
复杂性不断提升的大型数据集已经将传统的数据挖掘技术推向新层次的处理要求。
Large data sets with escalating complexity have pushed traditional data mining techniques to new levels of processing demand.
在此基础上，分析了将数据挖掘技术运用于电力系统的可能性与必要性。
On this basis the necessity and feasibility of applying the data mining to power system are analyzed.
数据挖掘技术是对大量数据进行分析，发现数据中隐藏知识的一种技术。
Date mining is a technology that it can find hidden knowledge in a large amount of data.
近年来，数据挖掘技术在市场分析预测、客户分析预测方面得到了广泛的应用。
In recent years, data mining has found wide application in market and client analysis and forecast.
近年来，数据挖掘技术在市场分析预测、客户分析预测方面得到了广泛的应用。
Data mining is widely used abroad in market analysis and forecast, client analysis and forecast in recent years.
集群是一种数据挖掘技术，这种技术根据数据记录的属性将相近的数据记录指定到集群中。
Clustering denotes a data mining technique that groups data records into clusters of pair-wise similar records by their properties.
分析型CRM使用数据挖掘技术对客户数据进行分析，并预测客户未来的行为。
Analytical CRM USES data mining to analyze the data of customers and predicts their purchasing action.
我们的研究表明，基于数据挖掘技术的CRM理论在未来社会中有着广阔的前景。
Our researches show that CRM theory based on the technology of data mining has broad prospects in the future society.
在熟悉了如何安装和启动WEKA 后，让我们来看看我们的第一个数据挖掘技术：回归。
Now that you're familiar with how to install and start up WEKA, let's get into our first data-mining technique: regression.
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.
数据挖掘技术能从海量数据中，发现对决策有重要作用的信息，因而得到广泛应用。
Data mining technology can find useful information for decision-making from massive history data thus it has been applied widely.
他还提到公司使用一种数据挖掘技术来根据内容对网页进行归类，这样一来搜索引擎会更有效率。
The company USES a form of data mining to group Web pages by content, which makes the search engine more efficient, he said.
其三是使用数据挖掘技术中的序列模式挖掘技术获得产品使用情况和特殊规律的信息。
The third is finding the information of products use and special rules by using the sequence pattern mining in the Data mining technique.
论文以江门市某银行IC卡业务系统的开发为背景，将数据挖掘技术应用于银行领域。
The thesis addresses the application of DM technology in banking with the help of the development of the IC card trade system of a certain bank in Jiang Men.
由于现在已经有很多数据挖掘技术，因此创建一个好的模型的最主要的步骤是决定要使用哪种技术。
Since there are so many techniques with data mining, the major step to creating a good model is to determine what type of technique to use.
方法对近年来的中国中医期刊有关中医证候的数据挖掘技术进行汇总，分析其优势与不足。
Method The data mining techniques of TCM symptomatology were summarized from different TCM magazines in recent years, and their advantages and disadvantages were analyzed.
例如。物理学家大卫e .托马斯表示卓思宁和其他人所发现的格式是采用“数据挖掘技术”的结果。
For example, physicist David E. Thomas showed that the patterns Drosnin and others found were the result of "data mining."
但由于这些日志审计数据量非常庞大，因此采用数据挖掘技术从中进行安全模式规则的提取。
However, as the amount of the log audit date is too large, we can apply data mining technology into security mode rule extraction.
利用数据挖掘技术提取关键信息，判断是否存在分布式扫描、慢速扫描等行为，并及时报警。
The information can be used to judge whether there is distributed scanning, slowly scanning etc, and alert if so.
利用数据挖掘技术提取关键信息，判断是否存在分布式扫描、慢速扫描等行为，并及时报警。
The information can be used to judge whether there is distributed scanning, slowly scanning etc, and alert if so.
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