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Multivariate Data Quality Enhancement by Ranked Imputation
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
Organizational decisions are based on data-based-analysis and predictions. Effective decisions require accurate predictions, which in-turn depend on the quality of the data. Real time data is prone to inconsistencies, which exhibit negative impacts on the quality of the predictions. This mandates the need for data imputation techniques. This work presents a prediction-based data imputation technique, Rank Based Multivariate Imputation (RBMI) that operates on multivariate data. The proposed
doi:10.35940/ijitee.c9027.019320
fatcat:reupha25qbhnlpiwe4odfozwzm