Efficient Proper Length Time Series Motif Discovery

@article{Yingchareonthawornchai2013EfficientPL,
  title={Efficient Proper Length Time Series Motif Discovery},
  author={Sorrachai Yingchareonthawornchai and Haemwaan Sivaraks and Thanawin Rakthanmanon and Chotirat Ratanamahatana},
  journal={2013 IEEE 13th International Conference on Data Mining},
  year={2013},
  pages={1265-1270}
}
As one of the most essential data mining tasks, finding frequently occurring patterns, i.e., motif discovery, has drawn a lot of attention in the past decade. Despite successes in speedup of motif discovery algorithms, most of the existing algorithms still require predefined parameters. The critical and most cumbersome one is time series motif length since it is difficult to manually determine the proper length of the motifs-even for the domain experts. In addition, with variability in the… CONTINUE READING
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