A Survey on Data Imputation Techniques: Water Distribution System as a Use Case

A Survey on Data Imputation Techniques: Water Distribution System as a Use Case

The presence of missing data is problematic in most quantitative research studies. Water distribution systems (WDSs) are not immune to this problem. In fact, missing data is an inherent feature of a WDS. There are various techniques and methods to address missing data ranging from simply deleting th...

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Bibliographic Details
Main Authors: Muhammad S. Osman, Adnan M. Abu-Mahfouz, Philip R. Page
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Data imputation
deletion
machine-learning methods
missing data
model based procedures
multiple imputation
Online Access:https://ieeexplore.ieee.org/document/8502041/

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