mp_meat_data: Original data used in the Salient Subsequences demo
In franzbischoff/tsmp: Time Series with Matrix Profile

Description Usage Format Source References

This is the Meat dataset from UCR Archive modified for Salient discovery. The original data is mixed with Random Walks and the algorithm must pick only the originals.

1	mp_meat_data

original is the original dataset with 60+60 observations mixed with 120 random walks:

data: 240 time series with length of 448 each.
labels: label of each time series, -666 means a random walk.
sub_len: size of sliding window.

sub is the original dataset embedded in random walks:

data: One time series with length of 107520.
labels: label of each original data.
labels_idx: starting point where the original data was placed.
sub_len: size of sliding window.

http://www.cs.ucr.edu/~eamonn/time_series_data/

Yeh CCM, Van Herle H, Keogh E. Matrix profile III: The matrix profile allows visualization of salient subsequences in massive time series. Proc - IEEE Int Conf Data Mining, ICDM. 2017;579-88.

Hu B, Rakthanmanon T, Hao Y, Evans S, Lonardi S, Keogh E. Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL. In: 2011 IEEE 11th International Conference on Data Mining. IEEE; 2011. p. 1086-91.

Website: https://sites.google.com/site/salientsubs/

franzbischoff/tsmp documentation built on March 9, 2020, 6:01 a.m.