Proximity forest: an effective and scalable distance-based classifier for time series

Lucas, Benjamin, Shifaz, Ahmed, Pelletier, Charlotte, O’Neill, Lachlan, Zaidi, Nayyar, Goethals, B, Petitjean, F and Webb, GI 2019, Proximity forest: an effective and scalable distance-based classifier for time series, Data Mining and Knowledge Discovery, vol. 33, pp. 607-635, doi: 10.1007/s10618-019-00617-3.

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Title Proximity forest: an effective and scalable distance-based classifier for time series
Author(s) Lucas, Benjamin
Shifaz, Ahmed
Pelletier, Charlotte
O’Neill, Lachlan
Zaidi, NayyarORCID iD for Zaidi, Nayyar orcid.org/0000-0003-4024-2517
Goethals, B
Petitjean, F
Webb, GI
Journal name Data Mining and Knowledge Discovery
Volume number 33
Start page 607
End page 635
Total pages 29
Publisher Springer
Place of publication Berlin, Germany
Publication date 2019
ISSN 1384-5810
1573-756X
Keyword(s) Time series classification
Scalable classification
Time-warp similarity measures
Ensemble
Language eng
DOI 10.1007/s10618-019-00617-3
Indigenous content off
Field of Research 0801 Artificial Intelligence and Image Processing
0804 Data Format
0806 Information Systems
HERDC Research category C1.1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30135376

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