Ghost - Missing Data Segments Imputation in Multivariate Streams
Helper functions provide an accurate imputation algorithm
for reconstructing the missing segment in a multi-variate data
streams. Inspired by single-shot learning, it reconstructs the
missing segment by identifying the first similar segment in the
stream. Nevertheless, there should be one column of data
available, i.e. a constraint column. The values of columns can
be characters (A, B, C, etc.). The result of the imputed
dataset will be returned a .csv file. For more details see Reza
Rawassizadeh (2019) <doi:10.1109/TKDE.2019.2914653>.