SICE: an improved missing data imputation technique

SICE: an improved missing data imputation technique

Abstract In data analytics, missing data is a factor that degrades performance. Incorrect imputation of missing values could lead to a wrong prediction. In this era of big data, when a massive volume of data is generated in every second, and utilization of these data is a major concern to the stakeh...

Full description

Bibliographic Details
Main Authors: Shahidul Islam Khan, Abu Sayed Md Latiful Hoque
Format: Article
Language:English
Published: SpringerOpen 2020-06-01
Series:Journal of Big Data
Subjects:
Missing Data Imputation
Single Imputation
Multiple Imputation
MICE
Data Analytics
Online Access:http://link.springer.com/article/10.1186/s40537-020-00313-w

Internet

http://link.springer.com/article/10.1186/s40537-020-00313-w

Similar Items