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A novel water quality data analysis framework based on time-series data mining

文献类型：期刊论文

作者Deng, Weihui1,2; Wang, Guoyin1
刊名JOURNAL OF ENVIRONMENTAL MANAGEMENT
出版日期2017-07-01
卷号196页码:365-375
关键词Time-series data mining Cloud model Water quality analysis Similarity measure Anomaly detection Pattern discovery
ISSN号0301-4797
DOI10.1016/j.jenvman.2017.03.024
通讯作者Wang, GY (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, 266 Fangzheng Ave,Shuitu Hi Tech Ind Pk, Chongqing 400714, Peoples R China.
英文摘要The rapid development of time-series data mining provides an emerging method for water resource management research. In this paper, based on the time-series data mining methodology, we propose a novel and general analysis framework for water quality time-series data. It consists of two parts: implementation components and common tasks of time-series data mining in water quality data. In the first part, we propose to granulate the time series into several two-dimensional normal clouds and calculate the similarities in the granulated level. On the basis of the similarity matrix, the similarity search, anomaly detection, and pattern discovery tasks in the water quality time-series instance dataset can be easily implemented in the second part. We present a case study of this analysis framework on weekly Dissolve Oxygen time-series data collected from five monitoring stations on the upper reaches of Yangtze River, China. It discovered the relationship of water quality in the mainstream and tributary as well as the main changing patterns of DO. The experimental results show that the proposed analysis framework is a feasible and efficient method to mine the hidden and valuable knowledge from water quality historical time-series data. (C) 2017 Elsevier Ltd. All rights reserved.
资助项目National Science and Technology Major Project[2014ZX07104-006] ; National Natural Science Foundation of China[61572091]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000401888300036
出版者ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
源URL[http://172.16.51.4:88/handle/2HOD01W0/200]  
专题大数据挖掘及应用中心
通讯作者Wang, Guoyin
作者单位1.Chinese Acad Sci, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Deng, Weihui,Wang, Guoyin. A novel water quality data analysis framework based on time-series data mining[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2017,196:365-375.
APA Deng, Weihui,&Wang, Guoyin.(2017).A novel water quality data analysis framework based on time-series data mining.JOURNAL OF ENVIRONMENTAL MANAGEMENT,196,365-375.
MLA Deng, Weihui,et al."A novel water quality data analysis framework based on time-series data mining".JOURNAL OF ENVIRONMENTAL MANAGEMENT 196(2017):365-375.

入库方式： OAI收割

来源：重庆绿色智能技术研究院

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