-
皮德常
(
教授
)
赞
的个人k8凯发集团主页 http://faculty.nuaa.edu.cn/pdc/zh_cn/index.htm
- 教授 博士生导师
- 招生学科专业：
计算机科学与技术 -- 【招收博士、硕士研究生】 -- 计算机科学与技术学院
软件工程 -- 【招收博士、硕士研究生】 -- 计算机科学与技术学院
网络空间安全 -- 【招收硕士研究生】 -- 计算机科学与技术学院
电子信息 -- 【招收博士、硕士研究生】 -- 计算机科学与技术学院
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所属单位：计算机科学与技术学院/人工智能学院/软件学院
发表刊物：2017 17th ieee international conference on data mining workshops (icdmw 2017)
关键字：similarity measure time series data mining time series representation
摘要：similarity measure is a central problem in time series data mining. although most approaches to this problem have been developed, with the rapid growth of the amount of data, we believe there is a challenging demand for supporting similarity measure in a fast and accurate way. in this paper, we propose a new time series representation model and a corresponding similarity measure, which is able to capture the main trends of time series and fulfill fast similarity detection. we compare the new method with state-of-the-art time series similarity methods and dimension-reduction techniques to indicate its superiority. experiment results demonstrate the new method is able to support both fast and accurate similarity measure.
issn号：2375-9232
是否译文：否
发表时间：2017-01-01
合写作者：张苗苗
通讯作者：皮德常