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。
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。
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。
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。
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