ICTACT Journal on Soft Computing

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Missing Value Imputation and Normalization Techniques in Myocardial Infarction


Affiliations
1 Department of Computer Applications, Sri GVG Visalakshi College for Women, India
2 Department of Computer Science, Kongunadu Arts and Science College, India
     

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Missing Data imputation is an important research topic in data mining. In general, real data contains missing values. The presence of the missing value in the data set has a major problem for precise prediction. The objective of this paper is to highlight possible improvement of existing algorithm for medical data. KNBP imputation method based on KNN and BPCA is proposed and evaluate MSE and RMSE estimates. Normalization is done by comparing three algorithms namely min-max normalization, Z-score and decimal scaling. The experiment is done with standard bench mark data and real time collected data. KNBP imputation method and Decimal Scaling Algorithm for Normalization got lower error rate.

Keywords

Mean, Hot Deck, KNN, BPCA, KNBP, Min-Max Algorithm, Z-Score, Decimal Scaling.
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  • Missing Value Imputation and Normalization Techniques in Myocardial Infarction

Abstract Views: 329  |  PDF Views: 2

Authors

K. Manimekalai
Department of Computer Applications, Sri GVG Visalakshi College for Women, India
A. Kavitha
Department of Computer Science, Kongunadu Arts and Science College, India

Abstract


Missing Data imputation is an important research topic in data mining. In general, real data contains missing values. The presence of the missing value in the data set has a major problem for precise prediction. The objective of this paper is to highlight possible improvement of existing algorithm for medical data. KNBP imputation method based on KNN and BPCA is proposed and evaluate MSE and RMSE estimates. Normalization is done by comparing three algorithms namely min-max normalization, Z-score and decimal scaling. The experiment is done with standard bench mark data and real time collected data. KNBP imputation method and Decimal Scaling Algorithm for Normalization got lower error rate.

Keywords


Mean, Hot Deck, KNN, BPCA, KNBP, Min-Max Algorithm, Z-Score, Decimal Scaling.

References