publication . Conference object . Other literature type . 2012

Transformation Based Ensembles for Time Series Classification

Bagnall, A.; Davis, L.; Hills, J.; Jason Lines;
Open Access English
  • Published: 26 Apr 2012
  • Country: United Kingdom
Until recently, the vast majority of data mining time series classification (TSC) research has focused on alternative distance measures for 1-Nearest Neighbour (1-NN) classifiers based on either the raw data, or on compressions or smoothing of the raw data. Despite the extensive evidence in favour of 1-NN classifiers with Euclidean or Dynamic Time Warping distance, there has also been a flurry of recent research publications proposing classification algorithms for TSC. Generally, these classifiers describe different ways of incorporating summary measures in the time domain into more complex classifiers. Our hypothesis is that the easiest way to gain improvement ...
ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITION
Related Organizations
Any information missing or wrong?Report an Issue