An Evaluation of Big Data Reduction Approaches
When data is massive, data reduction is an essential move that helps to reduce the computational intractability of learning techniques. This is especially true for the massive datasets that have become popular in recent years. The key issue that both data preprocessors and learning techniques are fa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2021-11-01
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| Series: | Journal of Applied Computer Science & Mathematics |
| Subjects: | |
| Online Access: | https://jacsm.ro/view/?pid=32_3 |