On time series classification with dictionary-based classifiers

Author:

Large James1,Bagnall Anthony1,Malinowski Simon2,Tavenard Romain2

Affiliation:

1. University of East Anglia, Norwich Research Park, UK

2. University of Rennes 1, IRISA, LETG-Rennes COSTEL, France

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference28 articles.

1. A run length transformation for discriminating between auto regressive time series;Bagnall;Journal of Classification,2014

2. The great time series classification bake off: A review and experimental evaluation of recent algorithmic advances;Bagnall;Data Mining and Knowledge Discovery,2017

3. Time-series classification with COTE: The collective of transformation-based ensembles;Bagnall;IEEE Transactions on Knowledge and Data Engineering,2015

4. Time series representation and similarity based on local autopatterns;Baydogan;Data Mining and Knowledge Discovery,2016

5. A bag-of-features framework to classify time series;Baydogan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2013

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