A5032162359- Imbalanced Data Classification Techniques
- Rough Sets and Fuzzy Logic
- Text and Document Classification Technologies
- Machine Learning and Data Classification
- Data Mining Algorithms and Applications
- VLSI and FPGA Design Techniques
- VLSI and Analog Circuit Testing
- Embedded Systems Design Techniques
Fuzhou University
2020-2024
The extended belief-rule-based (EBRB) system has become a widely recognized and effective rule-based in decision-making. uses data-driven method to generate the rule base by transforming each training sample into rule. Hence, when an EBRB is applied imbalanced classification dataset, imbalance of dataset will retain generated base. More specifically, number rules transformed from majority classes be far greater than minority classes. This issue usually leads sharp decrease accuracies study...
Extended belief rule-based (EBRB) system has a better ability to model complex problems than (BRB) system. However, the storage of rules in EBRB is out order, which leads low efficiency rule retrieval during reasoning process. Therefore, improve retrieval, this study introduces K-means clustering tree algorithm into construction base, then proposes multi-layer weighted approach based on tree. The proposed seeks path process, and figures several results according nodes path. These are...