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| 基于云模型的时间序列分段聚合近似方法 | |
| 引用本文： | 李海林,郭崇慧.基于云模型的时间序列分段聚合近似方法[J].控制与决策,2011,26(10):1525-1529. |
| 作者姓名： | 李海林 郭崇慧 |
| 作者单位： | 大连理工大学系统工程研究所,辽宁大连,116024 |
| 基金项目： | 国家自然科学基金项目(10571018,70871015); 国家863计划项目(2008AA04Z107) |
| 摘 要： | 针对时间序列数据的高维特性,提出一种基于云模型的时间序列分段聚合近似方法.利用云模型的熵评判分段聚合后各子序列的数据稳定性,选取稳定性最弱的子序列再分段聚合,最终得到云模型序列,同时给出了云模型序列的相似性度量.该方法对时间序列能够有效降维,并能够自适应地识别和描述其基本特征.实验结果表明,数据压缩较大时,所提出方法能够较好地保证近似的准确性,并提高时间序列数据挖掘的效率. |
| 关 键 词： | 时间序列 云模型 相似性 分段聚合近似 |
| 收稿时间： | 2010/6/3 0:00:00 |
| 修稿时间： | 2010/10/29 0:00:00 |
Piecewise aggregate approximation method based on cloud model for time series |
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| LI Hai-lin,GUO Chong-hui.Piecewise aggregate approximation method based on cloud model for time series[J].Control and Decision,2011,26(10):1525-1529. |
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| Authors: | LI Hai-lin GUO Chong-hui |
| Affiliation: | LI Hai-lin,GUO Chong-hui(Institute of Systems Engineering,Dalian University of Technology,Dalian 116024,China) |
| Abstract: | This paper proposes a technique of piecewise aggregate approximation based on cloud model to resolve the high dimensionality of time series.The entropy of cloud model is used to evaluate the stability of data points in a subsequence and choose the subsequence with lower stability to further divide so that a series of cloud models can be obtained to approximate time series.The similarity between two cloud model series is calculated.The proposed method can reduce the dimensionality,and also can adaptively rec... |
| Keywords: | time series cloud model similarity piecewise aggregate approximation |
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