mp_meat_data {tsmp} | R Documentation |
Original data used in the Salient Subsequences demo
Description
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.
Usage
mp_meat_data
Format
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.
Source
http://www.cs.ucr.edu/~eamonn/time_series_data/
References
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/