ISCAS OpenIR
segmental semi-markov model based online series pattern detection under arbitrary time scaling
Ling Guangjie; Qian Yuntao; Sen Jia
2006
Conference Name2nd International Conference on Advanced Data Mining and Applications
Pages731-740
Conference DateAUG 14-16,
Conference PlaceXian, PEOPLES R CHINA
Indexed Typesci ; istp
Publish PlaceHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
PublisherADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS
ISSN0302-9743
ISBN3-540-37025-0
DepartmentZhejiang Univ, Coll Comp Sci, Hangzhou 310027, Peoples R China. Chinese Acad Sci, Inst Software, Beijing 100049, Peoples R China.
English AbstractEfficient 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
SponsorshipXian Software Pk, Web Informat Syst Engn Soc, IEEE Queensland Sect, Univ Queensland
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/12144
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Ling Guangjie,Qian Yuntao,Sen Jia. segmental semi-markov model based online series pattern detection under arbitrary time scaling[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS,2006:731-740.
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