In the 21st century of the knowledge and economic time and facing with the fact of bursting data but poor knowledge, data mining has been put forward and applied in many fields of database management.
21世纪是知识经济的时代，面对数据爆炸而知识贫乏的现实，人们提出数据挖掘思想，并将其广泛应用到数据库管理的各个领域。
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.
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。
In this paper, a intelligent analysis mode based on Data Mining in Armored Equipment Maintenance and Management is presented to get a useful knowledge for the decisionmaker.
本文提出了基于智能分析中的数据挖掘技术提出了装备维修管理智能分析模型，实现从海量数据中挖掘出有用的模式，为相关人员提供决策支持。
Data Mining share a wide range of potential commercial applications, knowledge management and knowledge discovery in the study of a promising new areas of application.
数据挖掘有着广泛的商业应用潜能，是知识发现与知识管理研究中的一个很有应用价值的新领域。
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.
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。
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