Remote sensing analysis of oilfield IoT based on density clustering
文献类型：会议论文
| 作者 | Zhang T(张涛)1,2,3 ; Fu DZ(付殿峥)1,3; Xu YY(许原野)1,2,3; Dong JY(董静雅)1,2,3
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| 出版日期 | 2021 |
| 会议日期 | November 8-11, 2021 |
| 会议地点 | Shenyang, China |
| 关键词 | Internet of Things Data mining Density clustering Density peaks Neighborhood |
| 页码 | 1-6 |
| 英文摘要 | In this paper, a density-based neighborhood search clustering method is proposed. A decision graph is obtained through density calculation, this method only needs to select density centers, and clustering results can be achieved automatically without irregular and frequent parameter adjustment. The algorithm is suitable for industrial big data clustering. It not only explains the clustering results vividly, but also increases or decreases the amount of clustering rapidly according to the need. Experimental results show that this method performs well on artificial data sets in contrast to the traditional methods and is successfully applied to a real oilfield engineering case. |
| 产权排序 | 1 |
| 会议录 | 2021 3rd International Conference on Industrial Artificial Intelligence (IAI)
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-6654-3517-8 |
| 源URL | [http://ir.sia.cn/handle/173321/29970]  |
| 专题 | 沈阳自动化研究所_数字工厂研究室 |
| 通讯作者 | Zhang T(张涛) |
| 作者单位 | 1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences 3.Nationality Department of Digital Factory, Shenyang Institute of Automation, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Zhang T,Fu DZ,Xu YY,et al. Remote sensing analysis of oilfield IoT based on density clustering[C]. 见:. Shenyang, China. November 8-11, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
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