Evaluation of single missing value imputation techniques for incomplete air particulates matter (Pm10) data in Malaysia
The missing value in the dataset has always been the critical issue of accurate prediction. It may lead to a misleading understanding of the scenario of air pollution. There might only be a small number of missing (5% to 10%) answers to each problem, but the missing details may vary. This research i...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Putra Malaysia Press
2021
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| Series: | Pertanika Journal of Science and Technology
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |