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数据挖掘在化学化工中的研究进展 被引量:8

Research progress of data mining in chemistry and chemical engineering
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摘要 随着大数据时代的到来,大量数据之下所隐藏信息的价值也越来越凸显。数据挖掘技术作为一个交叉学科,它的应用也已经涉及到了许多领域。在化学化工领域,数据挖掘所提供的算法体系,极大程度的丰富了化学化工领域的研究思路和手段。通过整合近年来数据挖掘技术在化学化工领域所取得的突破性进展,评述了数据挖掘技术在化工建模、工艺条件的优化、数据库平台的创建和安全生产方面的应用。 With the arrival of the era of big data,the value of the information which hidden under the large number of data is also increasingly prominent. As an interdisciplinary subject,data mining has been applied in many areas. In the field of chemistry and chemical engineering,the algorithm system provided by data mining has greatly enriched the research ideas and methods. Author has integrated the breakthrough progress which was made by the research on the data mining in the field of chemistry and chemical engineering over recent years,commented and summarized the application that data mining has been used in the aspect of chemical engineering modeling,process optimization,database platform to create production and production safety.
出处 《应用化工》 CAS CSCD 北大核心 2017年第1期159-162,166,共5页 Applied Chemical Industry
基金 国家自然科学基金(21206129)
关键词 数据挖掘 建模 工艺优化 安全生产 data mining modeling process optimization production safety
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