Towards optimal symbolization for time series comparisons

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Towards optimal symbolization for time series comparisons

The abundance and value of mining large time series data sets has long been acknowledged. Ubiquitous in fields ranging from astronomy, biology and web science the size and number of these datasets continues to increase, a situation exacerbated by the exponential growth of our digital footprints. The...

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Bibliographic Details
Main Authors:	Smith, Gavin, Goulding, James, Barrack, Duncan
Format:	Conference or Workshop Item
Published:	2013
Subjects:	Time series analysis; Quantization (signal); Equations; Mathematical model; Data mining; Approximation methods; Simulated annealing
Online Access:	https://eprints.nottingham.ac.uk/52220/

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