PARALLEL ALGORITHMS OF RANDOM FORESTS FOR CLASSIFYING VERY LARGE DATASETS
The random forests algorithm proposed by Breiman is an ensemble-based approach with very high accuracy. The learning and classification tasks of a set of decision trees take a lot of time, make it intractable when dealing with very large datasets. There is a need to scale up the random forests algor...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Dalat University
2013-06-01
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| Series: | Tạp chí Khoa học Đại học Đà Lạt |
| Subjects: | |
| Online Access: | https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/247 |
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