Missing data imputation

Xem 1-3 trên 3 kết quả Missing data imputation
  • Methods for analysing trauma injury data with missing values, collected at a UK hospital, are reported. One measure of injury severity, the Glasgow coma score, which is known to be associated with patient death, is missing for 12% of patients in the dataset. In order to include these 12% of patients in the analysis, three different data imputation techniques are used to estimate the missing values.

    pdf6p giacattan 05-01-2013 24 3   Download

  • Sequential Method ( Preprocessing Methods) Parrarel Method missing value is taking into account in main process knowledge mining.Do Not Impute ( parrarel method) Case Deletion / Row Ignoring. Fill in the missing value / Imputation Method.The rising of new pattern because of wrong imputation method Biasing natural pattern in original data.Given a set of objects, the overall objective of clustering is to divide the data set into groups based on similarity of objects, and to minimize the intra-cluster dissimilarity.

    ppt22p giacattan 05-01-2013 34 3   Download

  • Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí hóa học quốc tế đề tài : Simple imputation methods were inadequate for missing not at random (MNAR) quality of life data

    pdf9p panasonic07 04-01-2012 28 5   Download

CHỦ ĐỀ BẠN MUỐN TÌM

Đồng bộ tài khoản