Abstract
A decision tree classification algorithm was described. This algorithm was used ScopeMiner - an integrated data mining system for advanced manufacturing enterprise. The algorithm used the idea of ID3, C4.5 and MedGen, and implement some modifications, which included evaluating condition attributes with correlation, and made pruning and optimization process simplify in order to get high accuracy and fast classifying speed. ScopeMiner system has been used in a large enterprise to control production quality and made some economic and society profits. The executing process of the algorithm was expounded. A case of using in a metallurgy enterprise was presented. The accuracy of the algorithm was proven and the complexity of time was analyzed.
| Original language | English |
|---|---|
| Pages (from-to) | 481-484 |
| Number of pages | 4 |
| Journal | Dongbei Daxue Xuebao/Journal of Northeastern University |
| Volume | 22 |
| Issue number | 5 |
| Publication status | Published - Oct 2001 |
| Externally published | Yes |
Keywords
- Advanced manufacturing enterprise
- Classification rule
- Correlation
- Data mining
- Decision tree