{ "_id": "6a1eea4eb401979e73411feb", "Package": "Ghost", "Type": "Package", "Title": "Missing Data Segments Imputation in Multivariate Streams", "Version": "0.1.0", "Author": "Siyavash Shabani, Reza Rawassizadeh", "Maintainer": "Siyavash Shabani ", "Description": "Helper functions provide an accurate imputation algorithm\nfor reconstructing the missing segment in a multi-variate data\nstreams. Inspired by single-shot learning, it reconstructs the\nmissing segment by identifying the first similar segment in the\nstream. Nevertheless, there should be one column of data\navailable, i.e. a constraint column. The values of columns can\nbe characters (A, B, C, etc.). The result of the imputed\ndataset will be returned a .csv file. 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