Missing Data Segments Imputation in Multivariate Streams
addtoList
appendOffset
Checking the variables and functions.
chr:Number to char
Converting the column name to the column number of the dataset.
countNulls
Checking the equality of two parts of the dataset.
hasNullRow
ht is a list of Hash objects.
HTCls
Checking the equality of two rows of the dataset.
MissCls
Exporting a .csv file to the special path in pc.
reconstruct: Missing Data Segments Imputation in Multivariate Streams
Reconstructing the missing section.
saxTransform
slidewindow
write2file_revised
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>.