Imputation methods outperform missing-indicator for data missing completely at random

conference paper
2019
Barata, A. Pereira

Takes, F.W.

Herik, H.J. van den

Veenman, C.J.
Topics
ClassificationData preprocessingImputationMissing dataMissing-indicator methodData AnalyticsData handlingData miningNearest neighbor searchNumerical methodsOpen DataRadial basis function networksSupport vector machinesClassifier performanceComplete classificationData preprocessingImputationIndicator methodsMissing dataSupport vector machine classifiersTree-based ensemble classifiersClassification (of information)
TNO Identifier
955096
Repository link
https://resolver.tno.nl/uuid:cd8784aa-f45f-4568-8060-5fb7cc3be55b
ISSN
23759232
ISBN
9781728146
Publisher
IEEE Computer Society
Article nr.
8955494
Source title
IEEE International Conference on Data Mining Workshops, ICDMW, 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019, 8 November 2019 through 11 November 2019
Editor(s)
He, X.
Papapetrou, Q.
Cheng, P.
Pages
407-414
Files
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