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| Outliers Mining in Time Series Data Sets | |
| 引用本文： | Zheng Binxiang,Du Xiuhua & Xi Yugeng Institute of Automation,Shanghai Jiaotong University,Shanghai 200030,P.R.China. Outliers Mining in Time Series Data Sets[J]. 系统工程与电子技术(英文版), 2002, 13(1) |
| 作者姓名： | Zheng Binxiang Du Xiuhua & Xi Yugeng Institute of Automation Shanghai Jiaotong University Shanghai 200030 P.R.China |
| 作者单位： | Zheng Binxiang，Du Xiuhua & Xi Yugeng Institute of Automation，Shanghai Jiaotong University，Shanghai 200030，P.R.China |
| 摘 要： | 1 ＩＮＴＲＯＤＵＣＴＩＯＮＫｎｏｗｌｅｄｇｅｄｉｓｃｏｖｅｒｙｉｎｄａｔａｂａｓｅｓ,ｃｏｍｍｏｎｌｙｒｅｆｅｒｒｅｄｔｏａｓｄａｔａｍｉｎｉｎｇ ,ｉｓｇｅｎｅｒａｔｉｎｇｅｎｏｒｍｏｕｓｉｎｔｅｒｅｓｔｓｉｎｂｏｔｈｒｅｓｅａｒｃｈａｎｄｓｏｆｔｗａｒｅａｒｅａｓ.Ｈｏｗｅｖｅｒ,ｍｕｃｈｏｆｔｈｅｒｅｃｅｎｔｗｏｒｋｈａｓｂｅｅｎｆｏｃｕｓｅｄｏｎｆｉｎｄｉｎｇ“ＬａｒｇｅＰａｔ ｔｅｒｎｓ”ｗｈｉｃｈｐｒｅｓｅｎｔｃｈａｒａｃｔｅｒｉｓｔｉｃｓｏｆｔｈｅｉｎｐｕｔｄａｔａｅｘｈｉｂｉｔｅｄｂｙ… |
Outliers Mining in Time Series Data Sets |
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| Zheng Binxiang,Du Xiuhua,Xi Yugeng. Outliers Mining in Time Series Data Sets[J]. Journal of Systems Engineering and Electronics, 2002, 13(1) | |
| Authors: | Zheng Binxiang Du Xiuhua Xi Yugeng |
| Abstract: | In this paper, we present a cluster-based algorithm for time series outlier mining.We use discrete Fourier transformation (DFT) to transform time series from time domain to frequency domain. Time series thus can be mapped as the points in k -dimensional space.For these points, a cluster-based algorithm is developed to mine the outliers from these points.The algorithm first partitions the input points into disjoint clusters and then prunes the clusters,through judgment that can not contain outliers.Our algorithm has been run in the electrical load time series of one steel enterprise and proved to be effective. |
| Keywords: | Data mining Time series Outlier mining. |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |