How to extract meaningful shapes from noisy time-series subsequences?

Yanfei Kang; Kate Amanda Smith-Miles; Danijel Belusic

doi:10.1109/CIDM.2013.6597219

How to extract meaningful shapes from noisy time-series subsequences?

Yanfei Kang, Kate Amanda Smith-Miles, Danijel Belusic

School of Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

3 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)
Editors	Barbara Hammer, Zhi-Hua Zhou, Lipo Wang, Nitesh Chawla
Place of Publication	New Jersey USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	65 - 72
Number of pages	8
ISBN (Print)	9781467358958
DOIs	https://doi.org/10.1109/CIDM.2013.6597219
Publication status	Published - 2013
Event	IEEE Symposium on Computational Intelligence and Data Mining 2013 - , Singapore Duration: 16 Apr 2013 → 19 Apr 2013 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6588692 (IEEE Conference Proceedings)

Conference

Conference	IEEE Symposium on Computational Intelligence and Data Mining 2013
Abbreviated title	IEEE CIDM 2013
Country/Territory	Singapore
Period	16/04/13 → 19/04/13
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6588692 (IEEE Conference Proceedings)

Access to Document

10.1109/CIDM.2013.6597219

Cite this

Kang, Y., Smith-Miles, K. A., & Belusic, D. (2013). How to extract meaningful shapes from noisy time-series subsequences? In B. Hammer, Z.-H. Zhou, L. Wang, & N. Chawla (Eds.), Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) (pp. 65 - 72). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CIDM.2013.6597219

Kang, Yanfei ; Smith-Miles, Kate Amanda ; Belusic, Danijel. / How to extract meaningful shapes from noisy time-series subsequences?. Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). editor / Barbara Hammer ; Zhi-Hua Zhou ; Lipo Wang ; Nitesh Chawla. New Jersey USA : IEEE, Institute of Electrical and Electronics Engineers, 2013. pp. 65 - 72

@inproceedings{5aceaba15ad54e4f99689c0037e43d77,

title = "How to extract meaningful shapes from noisy time-series subsequences?",

author = "Yanfei Kang and Smith-Miles, {Kate Amanda} and Danijel Belusic",

year = "2013",

doi = "10.1109/CIDM.2013.6597219",

language = "English",

isbn = "9781467358958",

pages = "65 -- 72",

editor = "Barbara Hammer and Zhi-Hua Zhou and Lipo Wang and Nitesh Chawla",

booktitle = "Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE Symposium on Computational Intelligence and Data Mining 2013, IEEE CIDM 2013 ; Conference date: 16-04-2013 Through 19-04-2013",

url = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6588692",

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Kang, Y, Smith-Miles, KA & Belusic, D 2013, How to extract meaningful shapes from noisy time-series subsequences? in B Hammer, Z-H Zhou, L Wang & N Chawla (eds), Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). IEEE, Institute of Electrical and Electronics Engineers, New Jersey USA, pp. 65 - 72, IEEE Symposium on Computational Intelligence and Data Mining 2013, Singapore, 16/04/13. https://doi.org/10.1109/CIDM.2013.6597219

How to extract meaningful shapes from noisy time-series subsequences? / Kang, Yanfei; Smith-Miles, Kate Amanda; Belusic, Danijel.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). ed. / Barbara Hammer; Zhi-Hua Zhou; Lipo Wang; Nitesh Chawla. New Jersey USA: IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 65 - 72.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review