新的数据没有分类别（这里是指还没有做过心脏病检查），评价过程根据挖掘模型将一个预测赋给每个新的记录。
The new data has no classification (in this case, no checks on heart disease have been made) and the scoring process assigns a prediction to each new record according to the mining model.
可以通过一个存储过程调用来调用数据挖掘，数据挖掘将在数据库中创建一个XML 挖掘模型。
Mining is invoked by a stored procedure call and creates an XML mining model in the database.
在此基础上提出了一个基于数据挖掘的企业竞争情报系统模型，并介绍了相应的过程。
Furthermore, the paper gives a model of Corporation Competitive Intelligence System based on data mining and its relevant process.
作者以CRISP-DM作为数据挖掘过程的参考模型。
The author takes CRISP-DM as the referenced model of the data mining process.
针对传统入侵检测系统构造过程中存在的种种问题，将数据挖掘技术引人入侵检测系统，实现检测模型构造的自动化。
Aiming at the problems exists in the process of IDS (intrusion detection system) constructing, apply data mining technology to IDS to construct the models automatically.
数据挖掘是利用各种分析工具在海量数据中发现模型和数据间关系的过程。
Data research is a process for searching model and the relationship in great amount data using different analysis tools.
数据挖掘是一个利用各种分析工具在海量数据中发现模型和数据间关系的过程。
Data mining is a type of process, which USES all kinds of analytical tools to search the relationship between the model and data in the sea of data.
本文探讨了怎样把数据挖掘中的模型应用到银行客户数据挖掘中，并刻画了建立这些模型的一般过程。
We discuss how to use the models in Data mining to find the features of customer in banking.
在数据挖掘过程中，论文提出了贪心网罗-最优竞争的挖掘模型建立方法。
The method of constructing model based on greedy network-best competition is proposed in the process of data mining in thesis.
运用数据挖掘分类技术于信用评分问题包括一个建立模型以及选择最优模型的过程。
The application of data mining classification techniques in credit scoring involves the process of building and selecting optimal models.
在此基础上提出了一个基于数据挖掘的企业竞争情报系统模型，并介绍了相应的过程。
Furthermore, the paper gives a model of Corporation Competitive Intelligence System based on data mining and its relevant pro...
贝叶斯网络的学习是数据挖掘中非常重要的一个环节，是将先验知识和模型评价融入训练数据，获得数据中隐藏的拓扑结构和参数的过程。
The learning of Bayesian Networks is an important tache, which combines training data with prior knowledge and model evaluation to acquire the structure hidden in data and parameters.
接着在前面的基础上又介绍了电信行业客户流失模型建立的原则，探讨了数据挖掘过程的标准化模型。
Then, this paper describes the principles of establishing the model of the telecom industry customer churn, and discusses the standard data mining process.
以PX吸附分离过程为研究对象，运用基于SOM模型的数据挖掘算法对其进行分析研究。SOM模型在整个挖掘过程中起了关键性的作用。
PX absorption and separation process is studied and analyzed using data mining methods based on SOM model, and the SOM model plays a key role in the whole data mining process.
以PX吸附分离过程为研究对象，运用基于SOM模型的数据挖掘算法对其进行分析研究。SOM模型在整个挖掘过程中起了关键性的作用。
PX absorption and separation process is studied and analyzed using data mining methods based on SOM model, and the SOM model plays a key role in the whole data mining process.
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