针对商业客户的背景信息对其消费行为的影响问题，提出了一种基于背景的商业客户行为模型的构建方法。
To investigate the context's influence on business customer consumption behavior, a sort of construction approach of context-based customer behavior model was proposed.
在SaaS模型中，版本控制和更改管理并非客户行为，但必须对其进行须测，以确保它们能被充分验证。
While version control and change management are not customer activities in the SaaS model, they must be tested to ensure they can be verified adequately.
对异步通信模型支持的缺乏，会对客户端开发、与Web框架的集成、标记库的使用、IDE的使用以及线程的行为有影响。
Lack of support for the asynchronous communication model can have an impact on client-side development, integration with Web frameworks, use of tag libraries, ide use, and threading behavior.
为了达到准确预测客户消费行为的目的，提取关键性指标是建立预测模型中至关重要的一步。
In order to predict customer's consuming behavior accurately, it is important to get the key indexes during model is building.
经试验验证，该模型能够更加客观地描述客户行为的非确定性和随机性特征，具有良好的分类效果。
By experimentation, this model could describe the indefinite and random character of customers' behavior impersonally and also has good segmentation effect.
为了寻找最佳的搜集方式，这个模型涵盖了很多参数，包括风险承担、风险行为、客户档案甚至采集器的效率。
The model factors in a wide range of parameters, including exposure, risk behavior, customer profile and even the efficiency of the collector, to identify the best method of collection.
对利益相关者在价值管理中的行为、建筑业理想化的成本控制模型以及客户行为进行了比较。
Stakeholders' behaviours in managing value are compared with the industry's idealized models of cost control and client behaviour.
客户流失模型是通过对流失客户的数据进行分析后得出的，包括基本模型和行为模型。
Customer churn model, consists of basic model and behavioral model, is built based on analysis of the churned customers' basic data and behavioral history.
研究如何运用基于云模型改进的关联规则来分析电信客户行为，进行客户行为知识表示。
The application of association rules was discussed based on the cloud model to analyze telecom customer behavior and knowledge representation.
国外已有一些关于消费者行为应用于客户细分方面的研究，如RFM细分模型、客户价值矩阵模型等。
There has been some research abroad on consumer behavior applied in the field of consumer segmentation, like RFM model, Customer Value Matrix (CVM) model, etc.
原型系统的实验表明，入侵检测模型能够对CORBA分布式对象应用中的异常客户行为进行有效检测。
The experimental results show the models effectiveness in detecting anomaly clients in CORBA distributed object applications.
介绍了模型中的一些关键技术，如模型工作原理、用户标识确定、访问资源分类、客户端浏览行为获取等。
Some key technology of this model is introduced, such as model's work principle and identify of user, classification of web page.
论文的重点就在于根据对历史上恶意欠费欺诈客户通话行为分析建立一个客户恶意欠费欺诈行为预测模型。
From the point of this article, we established a model of the prediction of the behavior to customer cheats according to cheat-customer's the history communication behavior in customer analysis.
论文的重点就在于根据对历史上恶意欠费欺诈客户通话行为分析建立一个客户恶意欠费欺诈行为预测模型。
From the point of this article, we established a model of the prediction of the behavior to customer cheats according to cheat-customer's the history communication behavior in customer analysis.
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