Missing Value Imputation in Multi Attribute Data Set

Provided by: International Journal of Computer Science and Information Technologies
Topic: Big Data
Format: PDF
Data mining has made a great progress in recent year but the problem of missing data or value has remained great challenge for data mining. Missing data or value in a datasets can affect the performance of classifier which leads to difficulty of extracting useful information from datasets dataset taken for this paper is student dataset that contains some missing values. The missing value is present in tm-10and tm-12. To impute theses missing value the authors use three techniques are used that are lit wise deletion, mean imputation and KNN imputation.

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