The paper discussed a model of customer classification based on Fuzzy ISODATA in CRM system.
探讨了在CRM系统中，基于模糊ISODATA的客户分类模型。
Customer analysis is the basis of CRM and customer classification is an important item of customer analysis.
客户分析是客户关系管理的基础，而客户分析的一项重要内容是客户分类。
The customer classification management is also analyzed through using for the matrix of customer classification management.
文章还利用客户分类管理矩阵对客户进行了分类管理。
In addition, introduces the principles of using clustering approach on customer classification and the details about step of the calculation.
详细介绍了用聚类方法进行客户分类的原理及具体计算步骤。
Customer classification is the first step of customer analysis in CRM and it may influence every step of the enterprise development directly.
客户细分作为CRM中进行客户分析的第一步，其效果的优劣直接影响着企业以后的每一步。
There are lots of fuzzy and noisy data in bank database, by application of fuzzy set improve the efficiency and accuracy of customer classification.
由于银行客户数据库中存在大量模糊和噪声数据，应用模糊集技术进行聚类分析，可以提高客户分类的效率和精确度。
Due to the knowledge redundancy, the normally adopted traditional clustering method for customer classification suffers from low clustering quality.
由于知识冗余的存在，采用传统的聚类方法进行客户细分存在细分质量低的问题。
Different support vector classification and regression predict models are constructed and applied to the solution of the customer classification, credit scoring, business prediction and so on.
通过建立不同类型的支持向量模型，解决了包括客户群体分类、信用评估、客户盈利能力预测等客户分析领域的众多复杂问题。
This allows better classification, better searching and a more relevant and proactive customer experience to be offered to the user.
更好的分类，更强的搜寻功能，以及相关性和预感知带来了更好的用户体验。
Specific functions: to track the whole project, including the pre-customer orientation, product descriptions, classification of customer data.
具体职能：全程项目跟踪，包括前期客户情况介绍，产品说明，分类整理客户资料。
The study of this text emphasizes on the application of knowledge discovery in the classification of textual records on the customer service in the communication industry.
本文的研究着重于知识发现在通信行业客户服务文本记录分类这一问题的应用上。
To support personalized requirements from customers in service integration, a novel description method for personalized customer requirements based on classification in put forward.
为了在服务整合中支持顾客的个性化需求，提出一种基于顾客需求分类的顾客个性化需求描述方法。
On the basis of analyzing the customer knowledge discovery and customer knowledge classification, an approach to customer knowledge discovery is presented.
在分析了客户知识发现的含义和客户知识分类的基础上，提出了一种客户知识发现的分析方法。
The better foundation of customers' classification is the profit contribution degree of the customer to the business enterprise.
客户分类比较理想的依据是客户对企业的利润贡献度。
The location of the store, the arrangement and the classification of the commodities is convenient for the customer service.
店铺位置、店内的布置和商品的分类都为顾客服务增加了便利。
A new predication method of customer credit of Banks is proposed based on the support vector domain classification model of non-balance data set.
基于非平衡数据集的支持向量域分类模型，提出了一种银行客户个人信用预测方法。
This thesis applies data mining techniques to customer segmentation based on customer value matrix and builds the classification model of customer with different value.
本文把数据挖掘技术应用于基于客户价值矩阵的客户价值细分中，建立各类价值客户的分类模型。
Predict the trend of customer loyalty by using regression and classification.
结合其它影响因子运用分类分析对客户忠诚度的趋势进行预测。
To find customers who are similar to the user, cluster models divide the customer base into many segments and treat the task as a classification problem.
为了寻找与当前用户相似的顾客，聚类模型对顾客基础进行细分，并把这个任务当做为分类问题。
And the author also probes into some issues such as the major customer selection and classification standard, cooperation relationship, marketing organization design.
在大客户分类与选择标准、大客户合作伙伴关系、大客户营销组织设计等方面作了一些有益的探索。
Aging of accounts receivable the classification of unpaid customer accounts receivable according to the date of sale.
应收账款分龄法根据销售实现之日起对未付客户应收账款所作的一种分类。
In this paper, a customer needs analysis, classification, introduced the implementation process of software products, and needs assessment methodology in the process, the management of demand risk.
本文对客户需求进行了分析、归类，介绍了产品化软件的实施过程，以及在这过程中对需求进行评估的方式、需求风险的管理。
In this example, according to the loan, the numbers of loaning and the payment-in-time ratio, a model worked for classification of customer credit-rating is created.
然后，针对银行业务中客户信用政策给出了实例分析，用该算法建立了一个分类模型，根据存款金额、贷款次数、及时还贷率等数据信息实现对客户信用等级的分类。
Experimentation results showed that the classification ability of this new method is better than tradition customer segmentation methods.
实验分析表明，该方法的分类效果明显优于传统的运用单个分类器的分类方法。
Experimentation results showed that the classification ability of this new method is better than tradition customer segmentation methods.
实验分析表明，该方法的分类效果明显优于传统的运用单个分类器的分类方法。
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