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Research on Data Mining Service and Its Application Case in Complex Industrial Process

机译:复杂工业过程中数据挖掘服务及其应用案例研究

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In today's competitive market, companies need to apply different data mining techniques in order to make more intelligent, accurate business decisions. Data mining technology from industrial big data can provide a more effective help for decision-making of enterprises' innovative design. This paper explores the advantages of data mining services, and presents a SOA-based data mining framework applied to non-expert data miners which can be treated as Software-as-a-Service including data uploading, data cleaning, data mining algorithm, OLAP and so on. As an example, a hybrid reasoning mechanism for intelligent design decision based on DM and its application in complex textile industry are also discussed.
机译:在今天的竞争激烈的市场中,公司需要应用不同的数据挖掘技术,以便更加智能,准确的业务决策。来自工业大数据的数据挖掘技术可以为企业创新设计的决策提供更有效的帮助。本文探讨了数据挖掘服务的优势,并提出了一种基于SOA的数据挖掘框架,应用于非专家数据挖养费,可以视为软件上载,数据清洁,数据挖掘算法,OLAP。等等。作为一个例子,还讨论了基于DM的智能设计决策的混合推理机制及其在复杂的纺织工业中的应用。

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