Piecewise two-dimensional normal cloud representation for time-series data mining | |
Deng, Weihui; Wang, Guoyin; Xu, Ji | |
刊名 | INFORMATION SCIENCES
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2016-12-20 | |
卷号 | 374页码:32-50 |
关键词 | Two-dimensional Normal Cloud Representation Dimensionality Reduction Similarity Measure Cloud Model Time-series Data Mining |
ISSN号 | 0020-0255 |
DOI | 10.1016/j.ins.2016.09.027 |
英文摘要 | Many high-level dimensionality reduction approaches for mining time series have been proposed, e.g., SAX, PWCA, and Feature-based. Due to the rapid performance degradation of time-series data mining in much lower dimensionality and the continuously increasing amount of time series data with uncertainty, there remains a burning need to develop new time-series representations that can retain good performance in much lower reduced space and address uncertainty efficiently. In this work, we propose a novel time series representation, namely Two-dimensional Normal Cloud Representation (2D-NCR), based on cloud model theory. The representation achieves dimensionality reduction by transforming the raw time series into a sequence of two-dimensional normal cloud models. Moreover, a new similarity measure between the transformed time series is presented. The proposed method can reflect the characteristic data distribution of the time series and capture the variation with time. We validate the performance of our representation on the various data mining tasks of classification, clustering, and query by content. The experimental results demonstrate that 2D-NCR is an effective and competitive representation for time-series data mining. (C) 2016 Elsevier Inc. All rights reserved. |
资助项目 | National Science and Technology Major Project of China[2014ZX07104006] ; National Naturel Science Foundation of China[61272060] ; National Naturel Science Foundation of China[61572091] |
WOS研究方向 | Computer Science |
语种 | 英语 |
出版者 | ELSEVIER SCIENCE INC |
WOS记录号 | WOS:000386645800003 |
内容类型 | 期刊论文 |
源URL | [http://119.78.100.138/handle/2HOD01W0/3005] ![]() |
专题 | 中国科学院重庆绿色智能技术研究院 |
作者单位 | Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China |
推荐引用方式 GB/T 7714 | Deng, Weihui,Wang, Guoyin,Xu, Ji. Piecewise two-dimensional normal cloud representation for time-series data mining[J]. INFORMATION SCIENCES,2016,374:32-50. |
APA | Deng, Weihui,Wang, Guoyin,&Xu, Ji.(2016).Piecewise two-dimensional normal cloud representation for time-series data mining.INFORMATION SCIENCES,374,32-50. |
MLA | Deng, Weihui,et al."Piecewise two-dimensional normal cloud representation for time-series data mining".INFORMATION SCIENCES 374(2016):32-50. |
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