AMP: a new time-frequency feature extraction method for
intermittent time-series data

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AMP: a new time-frequency feature extraction method for intermittent time-series data

The characterisation of time-series data via their most salient features is extremely important in a range of machine learning task, not least of all with regards to classification and clustering. While there exist many feature extraction techniques suitable for non-intermittent time-series data, th...

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Bibliographic Details
Main Authors:	Barrack, Duncan S., Goulding, James, Hopcraft, Keith, Preston, Simon, Smith, Gavin
Format:	Conference or Workshop Item
Published:	2015
Subjects:	time-series feature extraction intermittence
Online Access:	https://eprints.nottingham.ac.uk/52186/

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