At first , this thesis described the necessary of implementing dm in crm systems at on the basis of explaining the elementary concepts and principles of crm and dm , constructed a crm system framework with the center of dm . then , it ameliorated and expanded the models of traditional association rule and decision tree for classification , put forward association rule with time constraint and fuzzy decision tree for classification . the thesis amended traditional algorithms and showed the application methods of new models 论文首先从客户关系管理和数据挖掘的基本概念和原理入手，阐明了在客户关系管理中应用数据挖掘的必要性，构建了以数据挖掘为核心的crm系统框架；然后，论文改进和扩展了传统的关联规则和决策分类树模型，提出了具有确定性时间约束的关联规则和模糊决策分类树，并修改了传统的挖掘算法，通过示例展示了新模型的应用方法。
Focusing on the time constraint problem in protocol testing theories , a strict constraint over time parameters in protocol testing was presented from several conformance testing methods , and a test case generation algorithm was given under the strict time constraint based on waiting , coordination and synchronizing time 摘要针对协议测试理论中的时间约束问题，从不同的一致性测试方法出发对协议测试中的时间参数做了严格的约束，同时给出了基于等待、协调和同步时间的严格约束下的测试用例生成算法。
