Novel methods for imputing missing values in water level monitoring data

HIGHLIGHTS

• who: Thakolpat Khampuengson from the School of Computing Sciences, University of East Anglia, Norwich, United Kingdom have published the paper: Novel Methods for Imputing Missing Values in Water Level Monitoring Data, in the Journal: (JOURNAL)
• what: The authors propose a novel approach for computing the missing values in incomplete subsequences, called Full Subsequence Matching (FSM).
• how: The authors introduced a new approach - Full Matching (FSM) for imputing values in The study by Yang et_al used the mean of nearby points imputation methods for imputing the missing data of the integrated data set from . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.