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首页> 外文期刊>International journal of computer science and network security >Multiple Classifier Selection to Improve Accuracy of Classifier for Time Series Analysis
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Multiple Classifier Selection to Improve Accuracy of Classifier for Time Series Analysis

机译:选择多个分类器以提高分类器时间序列分析的准确性

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In this article we proposed a technique for temporal data mining which is based on the classification rules and optimal discriminant analysis(ODA).Time series are decomposed into segments (avg,slope,curvature) are described by polynomial models. Then the
机译:本文提出了一种基于分类规则和最优判别分析(ODA)的时态数据挖掘技术。通过多项式模型将时间序列分解为分段(平均,斜率,曲率)。然后

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