Name
Abstract | ||
|---|---|---|
In order to solve the problem of computing the core of consistent information system, based on the full analysis of rough set theory and decision tree method, we introduce the concept of the core samples and put forward a method of computing core attributes. It is proved that this method is effective combined with specific instance. Results show that the core computing method based on the decision tree has good operability and interpretability and this method can effectively calculate the core attributes of the information system. © 2011 IEEE. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICMLC.2011.6016718 | ICMLC |
Keywords | Field | DocType |
core attributes,data mining,decision tree,information system,rough set,algorithm design and analysis,algorithm design,rough set theory,core samples,machine learning,decision trees,information systems,approximation algorithms | Decision tree,Data mining,Computer science,Artificial intelligence,ID3 algorithm,Dominance-based rough set approach,Alternating decision tree,Decision stump,Pattern recognition,Influence diagram,Decision tree learning,Machine learning,Incremental decision tree | Conference |
Volume | Issue | ISSN |
1 | null | 21601348 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhan-Jing Wang | 1 | 0 | 0.68 |
| Hong-Ze Yin | 2 | 0 | 0.34 |
| Fachao Li | 3 | 157 | 22.30 |