A New Time Series Representation Model and Corresponding Similarity Measure for Fast and Accurate Similarity Detection

@article{Zhang2017ANT,
  title={A New Time Series Representation Model and Corresponding Similarity Measure for Fast and Accurate Similarity Detection},
  author={Miaomiao Zhang and Dechang Pi},
  journal={IEEE Access},
  year={2017},
  volume={5},
  pages={24503-24519}
}
Data representation and similarity measurement are two basic aspects of similarity detection in time series data mining. In this paper, we present two novel approaches to perform similarity detection efficiently and effectively. One is composed of a new time series representation model and a corresponding similarity measure, which is called fragment alignment distance (FAD); the other applies dynamic time warping to the representation model of FAD and is called FAD_DTW. The new data… CONTINUE READING
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The UCR Time Series Classification Archive

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