New Hybrid Method for Efficient Imputation of Discrete Missing Attributes


Authors : KONE Dramane; GOORE Bi Tra; Dr. KIMOU Kouadio Prosper

Volume/Issue : Volume 5 - 2020, Issue 11 - November

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3qALC2V

In this paper, we present a hybrid method for efficiently estimating missing discrete attributes appearing in data manipulation or processing. The principle of the method consists first of all in determining the segment to which the missing value belongs and then estimating it by majority vote when possible. Otherwise the average of the missing attribute is determined from the complete data of the segment. Several cases may arise. The case where the non-missing attributes have the same modality (they are in the same interval) is dealt with by calculating the centre of the missing attribute

Keywords : Cleaning, Estimation, Segmentation, Classification, MAR, Data Mining

CALL FOR PAPERS


Paper Submission Last Date
31 - December - 2021

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe