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Partial imputation to improve predictive modelling in insurance risk classification using a hybrid positive selection algorithm and correlation-based feature selection

Author: Duma, M ; Twala, B ; Nelwamondo, Fulufhelo V ; Marwala, T Date: Sep 2013 We propose a hybrid missing data imputation technique using positive selection and correlation-based feature selection for insurance data. The hybrid is used to help supervised learning methods improve their classification accuracy and ... Read more
A survey on data imputation techniques: Water distribution system as a use case

Author: Osman, Muhammad S ; Abu-Mahfouz, Adnan MI ; Page, Philip R Date: Nov 2018 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 ... Read more

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Browsing by Subject "Missing data"

Browsing by Subject "Missing data"

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