数据挖掘技术可以有效地从大量的客户数据中发现有用的信息和知识，进而可以有效提升客户关系管理的质量，达到提高银行竞争力的目的。
DM can find useful information and knowledge effectively from much customer 's data, and then promote effectively quality of CRM, it reaches the aim which can raise the bank competition.
探讨了流程工业CIMS中实现知识管理系统的关键技术，它包括数据挖掘技术、搜索引擎技术和知识库的建立等。
It discusses the key technologies of application of knowledge management for CIMS in process industry, which includes Data Mining, Searching Engine and the construction of knowledge Database.
铜矿专家系统中知识库和规则库的保存和管理使用了数据库开发技术，采用数据挖掘作为知识发现的新手段。
The database development skills were applied to store and manage the knowledge and the rules while the knowledge founding adopted data mining technology.
本文对电信产品生命周期管理模型进行了分析，并且运用数据挖掘的相关知识着重对模型中的客户细分和产品预演进行了研究。
The paper analyzes the model of TPLC management, and using the correlative knowledge of Data Mining researches emphatically the customer segmentation and the product forecast in the TPLC.
本文对电信产品生命周期管理模型进行了分析，并且运用数据挖掘的相关知识着重对模型中的客户细分和产品预演进行了研究。
The paper analyzes the model of TPLC management, and using the correlative knowledge of Data Mining researches emphatically the customer segmentation and the product forecast in the TPLC.
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