Big data decision tree for continuous-valued attributes based on unbalanced cut points
Abstract The decision tree is a widely used decision support model, which can quickly mine effective decision rules based on the dataset. The decision tree induction algorithm for continuous-valued attributes, based on unbalanced cut points, is efficient for mining decision rules; however, extending...
Main Authors: | Shixiang Ma, Junhai Zhai |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-08-01
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Series: | Journal of Big Data |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40537-023-00816-2 |
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