文章基本信息

标题：Data Mining Learning Models and Algorithms on a Scada System Data Repository
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作者：Maria Muntean ; Ioan Ileană ; Corina Rotar 等
期刊名称：Brain. Broad Research in Artificial Intelligence and Neuroscience
印刷版ISSN：2067-3957
出版年度：2010
卷号：1
期号：spe1
页码：91-99
出版社：EduSoft publishing
摘要：This paper presents three data mining techniques applied
on a SCADA system data repository: NaÄ³ve Bayes, k-Nearest Neighbor and Decision Trees. A conclusion that k-Nearest Neighbor is a suitable method to classify the large amount of data considered is made finally according to the mining result and its reasonable explanation. The experiments are built on the training data set and evaluated using the new test set with machine learning tool WEKA.
关键词：Data Mining, SCADA System Data