<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Missing Data Segments Imputation in Multivariate Streams</dc:title>
  <dc:title>R package Ghost version 0.1.0</dc:title>
  <dc: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) &lt;doi:10.1109/TKDE.2019.2914653&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: R6</dc:relation>
  <dc:creator>Siyavash Shabani &lt;s.shabani.aut@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Siyavash Shabani, Reza Rawassizadeh </dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2020-03-25</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=Ghost</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.Ghost</dc:identifier>
</oai_dc:dc>