SAP SE
FLEXIBLE IMPUTATION OF MISSING DATA

Abstract:

Imputation of missing data can be provided for both normalized and non-normalized data. Data can be partitioned, and data complete records used to impute values for data missing records. Hierarchical clustering can be used to cluster the data. Imputation can rely on a closed record in a same cluster. Record similarity can be used to adjust an observed value, and an estimated mean can also be incorporated. Useful for augmenting datasets that can be applied to analytics, machine learning, and other scenarios.