A novel symbolization technique for time-series outlier detection

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A novel symbolization technique for time-series outlier detection

The detection of outliers in time series data is a core component of many data-mining applications and broadly applied in industrial applications. In large data sets algorithms that are efficient in both time and space are required. One area where speed and storage costs can be reduced is via symbol...

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Bibliographic Details
Main Authors:	Smith, Gavin, Goulding, James
Format:	Conference or Workshop Item
Published:	2015
Subjects:	Detection; Preprocessing; Symbolization; Quantization; Optimization; Time series; Data mining
Online Access:	https://eprints.nottingham.ac.uk/52309/

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