Correlation Based Regression Imputation (CBRI) Method for Missing Data Imputation

Uğur ÜRESİN

Makale detayları

Correlation Based Regression Imputation (CBRI) Method for Missing Data Imputation

Yazarlar:

Uğur ÜRESİN

Yayıncı:

Fırat University

Ana Başlıklar:

Mühendislik ve uygulamalı operasyonlar | Uygulamalı fizik

Dergi:

Turkish Journal of Science and Technology 2021 Vol.16 Issue 1, pp.39-46

Belge Tipi:

Makale

Yayın Tarihi:

3/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000639140

Sıklık:

Aylık

eISSN:

1308-9099

pISSN:

1308-9080

Özet:

 

To complete missing values in a dataset is crucial for data mining and machine learning applications. If any parameter of a dataset has missing values, the values of the other parameters corresponding to those missing values should not be excluded from the dataset in order to prevent information in the dataset. Missing values should be handled carefully to avoid their affecting analyses and to prevent loss of information. There are many methods to predict missing values (imputation) that take into account other values of the relevant parameter, but these methods do not consider other parameters. In this study, an algorithm considering other parameters is proposed and its performance is compared with methods that calculate missing data without considering other parameters. The proposed method (CBRI) has been tested with a real dataset, and much more successful results have been obtained compared to the two commonly used imputation methods, mean imputation and median imputation.

Makale detayları

Correlation Based Regression Imputation (CBRI) Method for Missing Data Imputation

Yazarlar: Uğur ÜRESİN

Yayıncı: Fırat University

Ana Başlıklar: Mühendislik ve uygulamalı operasyonlar | Uygulamalı fizik

Dergi: Turkish Journal of Science and Technology 2021 Vol.16 Issue 1, pp.39-46

Belge Tipi: Makale

Yayın Tarihi: 3/2021

Belge Dili: İngilizce

Document ID (Org No.): 2000639140

Sıklık: Aylık

eISSN: 1308-9099

pISSN: 1308-9080

Sayı

Yazarlar:

Uğur ÜRESİN

Yayıncı:

Fırat University

Ana Başlıklar:

Mühendislik ve uygulamalı operasyonlar | Uygulamalı fizik

Dergi:

Turkish Journal of Science and Technology 2021 Vol.16 Issue 1, pp.39-46

Belge Tipi:

Makale

Yayın Tarihi:

3/2021

Belge Dili:

İngilizce

Document ID (Org No.):

2000639140

Sıklık:

Aylık

eISSN:

1308-9099

pISSN:

1308-9080