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首页> 外文会议>International conference on information and management sciences >Using Data Mining Technology to Construct Knowledge Services Database of Cloud Platform Pattern—Taking a Database of New Energy and Low-Carbon Economy as example
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Using Data Mining Technology to Construct Knowledge Services Database of Cloud Platform Pattern—Taking a Database of New Energy and Low-Carbon Economy as example

机译：利用数据挖掘技术构建云平台模式知识服务数据库-以新能源低碳经济数据库为例

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Purpose: Through constructing pattern of cloud platform, the construction of new energy and low-carbon economy database will be adopted by data mining technique, and the knowledge service can be realized. Design/methodology/approach: In this study, the applied actuality and implement result of the special database are evaluated, and also the constructing pattern of cloud platform of database is put forward. Findings: In this study , the new energy and low-carbon economy studied by scholars are taken as the main line , and the cloud concept in the application of such knowledge service is described through construction technical layout of the database establishment , data mining collections of network resources, data storage and knowledge application. Limitations: The constructing of cloud platform is an efficient path for the database constructing pattern. In theory, the problems of data have solutions, but it still need further researches because the real work will face many problems. The combination between data mining technique and cloud concept will become the new concept of the new open data integration mode Originality/value: Firstly, the new energy and low-carbon economy are the knowledge cluster widely covered. Original database establishment mode is not suitable to do this level of knowledge services, and it's necessary to build a data mining clustering platform for the knowledge level by means of the cloud concept. Secondly, the feasibility to realize the cloud platform and realization of communion of cloud storage data are expatiated .Thirdly, the concept of ubiquitous knowledge service is introduced so that the knowledge service can achieve the "goal-driven", "user-oriented", "solution-oriented" and "cluster-type solving users' problems services".
机译：目的：通过云平台的构建模式，采用数据挖掘技术来构建新能源和低碳经济数据库，从而可以实现知识服务。设计/方法/方法：本研究对专用数据库的应用现状和实施效果进行了评估，并提出了数据库云平台的构建模式。结果：本研究以学者研究的新能源和低碳经济为主要研究对象，通过数据库的建设技术布局，数据库的数据挖掘集合，描述了云技术在此类知识服务中的应用。网络资源，数据存储和知识应用。局限性：云平台的构建是数据库构建模式的有效途径。从理论上讲，数据问题是可以解决的，但由于实际工作将面临许多问题，因此仍需进一步研究。数据挖掘技术与云概念的结合将成为新的开放数据集成模式的新概念。原创性/价值：首先，新能源和低碳经济是广泛涵盖的知识集群。原始的数据库建立模式不适合执行此级别的知识服务，因此有必要通过云概念为知识级别构建数据挖掘集群平台。其次，阐述了实现云平台和实现云存储数据通信的可行性。第三，引入了普遍存在的知识服务的概念，使知识服务可以实现“目标驱动”，“面向用户”; “面向解决方案”和“集群式解决用户的问题服务”。

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