| 1. | Based on a hybrid algorithm method classification rule mining
基于一种混合算法的分类规则挖掘 |
| 2. | Mining classification rules based on the distributed concept lattice
基于分布式概念格的分类规则挖掘 |
| 3. | Classification rule discovering with artificial fish - swarm algorithm
基于人工鱼群算法的分类规则发现 |
| 4. | A model of association based self - adaptive mining classification rules
基于关联的自适应分类规则发现模型 |
| 5. | Researches on discovery of classification rules based on decision tree
利用决策树发掘分类规则的算法研究 |
| 6. | Algorithm for association based on self - adaptive mining classification rule
基于关联的自适应分类规则挖掘方法 |
| 7. | A hybrid method for mining classification rules is proposed
提出一种基于粗集理论和神经网络相结合的分类规则挖掘算法。 |
| 8. | Design and application of a fuzzy classified rule based on learning from fuzzy examples
基于模糊示例学习的蠓虫分类规则的设计 |
| 9. | Similarity - based crossover - mutation operator and its application to mining classification rules
基于相似度的交叉变异算子及其在分类规则挖掘中的应用 |
| 10. | Application of rough approaching approximation measurement to data mining classification rules in data ware
粗糙逼近近似度量在分类规则挖掘中的应用 |
