Analysis of Slow Moving Goods Classification Technique: Random Forest and Naïve Bayes
Classifications techniques in data mining are useful for grouping data based on the related criteria and history. Categorization of goods into slow moving group or the other is important because it affects the policy of the selling. Various classification algorithms are available to predict labels o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Muhammadiyah University Press
2019-12-01
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| Series: | Khazanah Informatika |
| Subjects: | |
| Online Access: | http://journals.ums.ac.id/index.php/khif/article/view/8263 |