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| 基于滑动窗口的时间序列离群数据挖掘 | |
| 引用本文： | 张宁. 基于滑动窗口的时间序列离群数据挖掘[J]. 燕山大学学报, 2008, 32(6) |
| 作者姓名： | 张宁 |
| 作者单位： | 燕山大学,信息科学与工程学院,河北,秦皇岛,066004 |
| 摘 要： | 离群数据挖掘是数据挖掘中的重要内容.本文针对时间序列数据进行离群数据挖掘方法的研究.在引入了基于局部离群点因子的离群数据挖掘方法与时间序列上滑动窗口基础上,将二者相结合,提出了基于滑动窗口的时间序列离群数据挖掘算法,并将算法应用于海表温度数据得到海表温度的异常之处. |
| 关 键 词： | 局部离群点因子 滑动窗口 时间序列 离群数据挖掘 |
Outlier mining for time series based on sliding window |
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| ZHANG Ning. Outlier mining for time series based on sliding window[J]. Journal of Yanshan University, 2008, 32(6) | |
| Authors: | ZHANG Ning |
| Affiliation: | ZHANG Ning1 (1. College of Information Science , Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China) |
| Abstract: | Outlier mining is an important part of data mining. In this paper, a research on the outlier mining method for time series data is undertaken. On the basis of the method of outlier mining based on local outlier factor and the sliding window on time series, the outlier mining algorithm for time series based on sliding window is proposed and used in sea surface temperature (SST) data to detect the anomalies about SST. |
| Keywords: | local outlier factor sliding window time series outlier mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |