Name
Abstract | ||
|---|---|---|
In the paper, a kind of expanding model of rough set, which is with membership grade degree and contribution was presented after lucubrating the deficiencies of the theory of traditional rough set. In this model, the information system with membership grade and contribution, the processing of noises, similar space partition, the dependency grade calculation of decision attribute on condition one, attribute reduction algorithm, mining process of interconnected rule were discussed |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICDMW.2006.60 | ICDM Workshops |
Keywords | Field | DocType |
rough set theory,membership grade contribution,mining process,information system,decision attribute,attribute reduction algorithm,membership grade,dependency grade calculation,membership grade degree,similar space partition,traditional rough set,interconnected rule mining,data mining,new method,rough set | Information system,Data mining,Computer science,Rough set,Rough set theory data mining,Artificial intelligence,Partition (number theory),Dominance-based rough set approach,Machine learning,Attribute domain | Conference |
ISBN | Citations | PageRank |
0-7695-2702-7 | 0 | 0.34 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianjun Hao | 1 | 18 | 5.82 |
| Huiping Li | 2 | 0 | 0.34 |
| Jihua Huang | 3 | 137 | 14.81 |
| Jiangang Zhang | 4 | 0 | 0.34 |