Ghost (version 0.1.0)

Missing Data Segments Imputation in Multivariate Streams

Description

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) .

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Install

install.packages('Ghost')

Monthly Downloads

95

Version

0.1.0

License

GPL-3

Last Published

March 25th, 2020

Functions in Ghost (0.1.0)