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面向工业领域的KDD技术及其应用前景

KDD Technology in the Industry Fields and its Application Prospect
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摘要 目前在工业现场中能很容易地获取大量的过程参数数据,而传统方法处理这些数据既费时又费力,在这些大量的未分析或待分析的数据中很有可能隐藏着有用的信息。KDD(数据库中的知识发现)旨在大量数据中发现有价值的信息。本文针对工业领域中数据信息的特点,介绍了KDD技术在工业领域的应用关键,并结合火力发电厂阐述了KDD在工业领域中的应用前景。 Current technology makes it fairly easy to collect procedure parameter data on the industry field, but the old methods of data analysis tend to be slow and expensive. There is a suspicion that there might be useful information hiding in the masses of unanalyzed or under analyzed data. KDD( Knowledge Discovery in Database ) aims at to find interesting information from large data. According to the features of the data analysis on the industry field, the authors introduce the keys of KDD technology application in this paper and give the applications prospect of KDD on the industry fields based on the fuel power plant.
机构地区 东南大学动力系
出处 《工业控制计算机》 2001年第9期44-47,53,共5页 Industrial Control Computer
关键词 KDD 工业领域数据分析 发电厂 KDD, industry field data analysis, power plant
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参考文献2

  • 1[3]Fayyad U、Piatetsky-Shapiro G、Smyth P, Knowledge Discovery and Data Mining: Towards a Unifying Framework. KDD'96 Proc. 2nd Intl. Conf. on Knowl edge Discovery & Data Mining, AAAl Press, 1996
  • 2[4]Mannila H, Data mining: machine learning, statistics,and databases, Proceedings of 8th International Con ference on Scientific and Statistical Data Base Man agement, IEEE Comput. Soc. Press, June, 1996

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