Abstract | ||
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This paper briefly describes ROSE software package. It is an interactive, modular system designed for analysis and knowledge discovery based on rough set theory in 32-bit operating systems on PC computers. It implements classical rough set theory as well as its extension based on variable precision model. It includes generation of decision rules for classification systems and knowledge discovery. |
Year | DOI | Venue |
---|---|---|
1998 | 10.1007/3-540-69115-4_85 | Rough Sets and Current Trends in Computing |
Keywords | Field | DocType |
classification system,software implementation,decision rule,rough set theory,knowledge discovery,paper briefly,modular system,classical rough set theory,pc computer,32-bit operating system,rose software package,operating system | Decision rule,Intelligent decision support system,Computer science,Decision support system,Rough set,Software,Knowledge extraction,Artificial intelligence,Modular design,Knowledge acquisition | Conference |
ISBN | Citations | PageRank |
3-540-64655-8 | 31 | 2.06 |
References | Authors | |
4 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bartlomiej Predki | 1 | 68 | 5.09 |
Roman Slowinski | 2 | 5561 | 516.06 |
Jerzy Stefanowski | 3 | 1653 | 139.25 |
Robert Susmaga | 4 | 370 | 33.32 |
Szymon Wilk | 5 | 461 | 40.94 |