Patterns¶

Note

• M : number of time series

• N : length of time series

• R : user-defined rate of missing values (%); default = 0.2

• W : user-defined offset window in the beginning of the series (%); default = 0.1

• S : user-defined rate of contaminated series (%); default = 0.2

Note

• R ∈ [1%, (100-W)%]

• The size of a single missing block varies between 1% and (100 - W)% of N.

• The starting position is the same and begins at W and progresses until the size of the missing block is reached, affecting the first series from the top up to S% of the dataset.

Note

• R ∈ [1%, (100-W)%]

• The size of a single missing block varies between 1% and (100 - W)% of N.

• The starting position of the first missing block begins at W.

• Each subsequent missing block starts immediately after the previous one ends, continuing this pattern until the limit of the dataset or N is reached.

Note

• R ∈ [1%, (100-W)%]

• The size of a single missing block varies between 1% and (100 - W)% of N.

• The starting position of the first missing block begins at W.

• Each subsequent missing block starts after the previous one ends, but with a shift back of X%, creating an overlap.

• This pattern continues until the limit or N is reached.

Note

• R ∈ [1%, (100-W)%]

• The size of a single missing block varies between 1% and (100 - W)% of N.

• The starting position is randomly shifted by adding a random value to W, then progresses until the size of the missing block is reached, affecting the first series from the top up to S% of the dataset.

Note

• R ∈ [1%, (100-W)%]

• Data blocks of the same size are removed from arbitrary series at a random position between W and N, until the total number of missing values per series is reached.

Note

• R ∈ [1%, (100-W)%]

• Data is removed following a distribution given by the user for every values of the series, affecting the first series from the top up to S% of the dataset.