Imputing missing value through ensemble concept based on statistical measures

• Main Authors: Jenghara, M. M., Ebrahimpour-Komleh, H., Rezaie, V., Nejatian, S., Parvin, H., Yusof, S. K. S.
• Format: Article
• Published: Springer London 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/77178/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032035373&doi=10.1007%2fs10115-017-1118-1&partnerID=40&md5=0e077a4f0507f0476bdaf1dfa0a70188

Many datasets include missing values in their attributes. Data mining techniques are not applicable in the presence of missing values. So an important step in preprocessing of a data mining task is missing value management. One of the most important categories in missing value management techniques...