Title: | segmental semi-markov model based online series pattern detection under arbitrary time scaling |
Author: | Ling Guangjie
; Qian Yuntao
; Sen Jia
|
Conference Name: | 2nd International Conference on Advanced Data Mining and Applications
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Conference Date: | AUG 14-16,
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Issued Date: | 2006
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Conference Place: | Xian, PEOPLES R CHINA
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Publisher: | ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS
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Publish Place: | HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
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Indexed Type: | sci
; istp
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ISSN: | 0302-9743
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ISBN: | 3-540-37025-0
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Department: | Zhejiang Univ, Coll Comp Sci, Hangzhou 310027, Peoples R China. Chinese Acad Sci, Inst Software, Beijing 100049, Peoples R China.
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Sponsorship: | Xian Software Pk, Web Informat Syst Engn Soc, IEEE Queensland Sect, Univ Queensland
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English Abstract: | Efficient online detection of similar patterns under arbitrary time scaling of a given time sequence is a challenging problem in the real-time application field of time series data mining. Some methods based on sliding window have been propose |
Language: | 英语
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Content Type: | 会议论文
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URI: | http://ir.iscas.ac.cn/handle/311060/12144
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Appears in Collections: | 软件所图书馆_会议论文
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segmental semi-markov model based online series pattern detection under arbitrary time scaling.pdf(350KB) | -- | -- | 限制开放 | -- | 联系获取全文 |
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Recommended Citation: |
Ling Guangjie,Qian Yuntao,Sen Jia. segmental semi-markov model based online series pattern detection under arbitrary time scaling[C]. 见:2nd International Conference on Advanced Data Mining and Applications. Xian, PEOPLES R CHINA. AUG 14-16,.
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