Matrix profile XIII: Time series snippets: A new primitive for time series data mining

Shima Imani; Frank Madrid; Wei Ding; Scott Crouter; Eamonn Keogh

doi:10.1109/ICBK.2018.00058

Matrix profile XIII: Time series snippets: A new primitive for time series data mining

Shima Imani
, Frank Madrid
, Wei Ding
, Scott Crouter
, Eamonn Keogh

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 9th IEEE International Conference on Big Knowledge, ICBK 2018
Editors	Ong Yew Soon, Huanhuan Chen, Xindong Wu, Charu Aggarwal
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	382-389
Number of pages	8
ISBN (Electronic)	9781538691243
DOIs	https://doi.org/10.1109/ICBK.2018.00058
State	Published - Dec 24 2018
Event	9th IEEE International Conference on Big Knowledge, ICBK 2018 - Singapore, Singapore Duration: Nov 17 2018 → Nov 18 2018

Publication series

Name	Proceedings - 9th IEEE International Conference on Big Knowledge, ICBK 2018

Conference

Conference	9th IEEE International Conference on Big Knowledge, ICBK 2018
Country/Territory	Singapore
City	Singapore
Period	11/17/18 → 11/18/18

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Networks and Communications
Information Systems and Management

Keywords

Diversification
Motifs
Sampling
Time series

Access to Document

10.1109/ICBK.2018.00058

Cite this

Imani, S., Madrid, F., Ding, W., Crouter, S., & Keogh, E. (2018). Matrix profile XIII: Time series snippets: A new primitive for time series data mining. In O. Y. Soon, H. Chen, X. Wu, & C. Aggarwal (Eds.), Proceedings - 9th IEEE International Conference on Big Knowledge, ICBK 2018 (pp. 382-389). Article 00058 (Proceedings - 9th IEEE International Conference on Big Knowledge, ICBK 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBK.2018.00058

Matrix profile XIII: Time series snippets: A new primitive for time series data mining. / Imani, Shima; Madrid, Frank; Ding, Wei et al.
Proceedings - 9th IEEE International Conference on Big Knowledge, ICBK 2018. ed. / Ong Yew Soon; Huanhuan Chen; Xindong Wu; Charu Aggarwal. Institute of Electrical and Electronics Engineers Inc., 2018. p. 382-389 00058 (Proceedings - 9th IEEE International Conference on Big Knowledge, ICBK 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Imani, S, Madrid, F, Ding, W, Crouter, S & Keogh, E 2018, Matrix profile XIII: Time series snippets: A new primitive for time series data mining. in OY Soon, H Chen, X Wu & C Aggarwal (eds), Proceedings - 9th IEEE International Conference on Big Knowledge, ICBK 2018., 00058, Proceedings - 9th IEEE International Conference on Big Knowledge, ICBK 2018, Institute of Electrical and Electronics Engineers Inc., pp. 382-389, 9th IEEE International Conference on Big Knowledge, ICBK 2018, Singapore, Singapore, 11/17/18. https://doi.org/10.1109/ICBK.2018.00058

Imani S, Madrid F, Ding W, Crouter S, Keogh E. Matrix profile XIII: Time series snippets: A new primitive for time series data mining. In Soon OY, Chen H, Wu X, Aggarwal C, editors, Proceedings - 9th IEEE International Conference on Big Knowledge, ICBK 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 382-389. 00058. (Proceedings - 9th IEEE International Conference on Big Knowledge, ICBK 2018). doi: 10.1109/ICBK.2018.00058

Imani, Shima ; Madrid, Frank ; Ding, Wei et al. / Matrix profile XIII : Time series snippets: A new primitive for time series data mining. Proceedings - 9th IEEE International Conference on Big Knowledge, ICBK 2018. editor / Ong Yew Soon ; Huanhuan Chen ; Xindong Wu ; Charu Aggarwal. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 382-389 (Proceedings - 9th IEEE International Conference on Big Knowledge, ICBK 2018).

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author = "Shima Imani and Frank Madrid and Wei Ding and Scott Crouter and Eamonn Keogh",

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Matrix profile XIII: Time series snippets: A new primitive for time series data mining

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ASJC Scopus Subject Areas

Keywords

Access to Document

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