How Can a Loss of Information in Mixed Attribute Datasets be Prevented?: On the Imputation of Missing Values in Mixed Attribute Datasets Using Higher

by Aasha Ajith

Master's Thesis from the year 2012 in the subject Computer Science - General, grade: 1.00, Avinashilingam University, language: English, abstract: This work is concerned with the question of how loss of information in data mining can be prevented by putting in missing values in mixed attributed datasets. Missing value imputation is a procedure that replaces the missing values with some feasible values. Missing data imputation methods are based on...

• Format: Paperback
• Language: English
• ISBN: 3668905347
• ISBN13: 9783668905344
• Release Date: April 2019
• Publisher: Grin Verlag
• Length: 50 Pages
• Weight: 0.17 lbs.
• Dimensions: 0.1" x 5.8" x 8.3"