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TS-CHIEF: a scalable and accurate forest algorithm for time series classification

Data Mining and Knowledge Discovery, no. 3 (2020): 742-775

Cited: 3|Views143
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Abstract

Time Series Classification (TSC) has seen enormous progress over the last two decades. HIVE-COTE (Hierarchical Vote Collective of Transformation-based Ensembles) is the current state of the art in terms of classification accuracy. HIVE-COTE recognizes that time series data are a specific data type for which the traditional attribute-value...More

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Author
Ahmed Shifaz
Ahmed Shifaz
Charlotte Pelletier
Charlotte Pelletier
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