| 1. | Customer segmentation based on integration of dynamic and static attributes
动静态属性数据相结合的客户分类方法研究 |
| 2. | 4 . the purpose of crm is to attract and dig up customers
提出用遗传神经网络进行客户分类，这是本论文的一个创新点。 |
| 3. | Is it difficult for any person handling cash to obtain access to customers ' ledgers and monthly statements
任何经手现金的人员，是否很难获得客户分类帐和月结单资料？ |
| 4. | 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。 |
| 5. | 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。 |
| 6. | This scheme takes full advantage of the bp neural network ' s model identifying ability . the result of experiment shows that this scheme is feasible
本文提出了用遗传bp神经网络进行客户分类的方案，并通过实验证实了这种方案的可行性。 |
| 7. | In the second half of 2002 , yunda was involved in the planning and project execution of a categorized customer communication and gift promotion campaign for china mobile ' s harbin office , and achieved great results
于2002年下半年,有效参与了中国移动哈尔滨分公司客户分类交流及礼品促销活动的策划及项目实施,收到良好的效果。 |
| 8. | Thirdly , i conclude the methods and contents of customers ’ information investigation and the classification among the customers are finished based on this . the fourth chapter mainly deals with the calculation analysis of the credit cost
第三章,客户信息调查与客户分类,总结了客户信用信息调查的方法和内容,企业可以在此基础上对客户进行分类。 |
| 9. | On the basis of customer clssification , the factors influencing customer relationship are analysized in this dissertation , then the selecting mehod of customer relationship and how to manage the customer relationship respectively are explored
本文在定性的客户分类基础上，分析了影响客户关系的因素，探讨了客户关系的选择方法，实现客户差别化管理。 |
| 10. | An outlier is an object that is considerably dissimilar or inconsistent with the remainder of the data . after 20 years of development , on the theory , data mining techniques is becoming more and more consummate and is expanding its application area
经过近20年的发展，数据挖掘技术在理论研究上日趋成熟，正不断的扩展其应用范围，当前数据挖掘已用于电信、金融、商业、气象预报、 dna 、股票市场、入侵检测和客户分类等许多领域。 |
