Matches in SemOpenAlex for { <https://semopenalex.org/work/W2389689794> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W2389689794 abstract "This paper discussed the application of granular computing in rule discovery.There has already a lot of methods used in rule discovery in data mining,such as rough set theory.The granular computing has correlations with rough set theory,so there is a kind of valuable research of combining these two methodologies.In the paper,firstly the basic concepts and common characters are presented.Then it compares the granular computing with the rough sets theory.Finally,there is an example of decision table for the application of granular computing in rule discovery." @default.
- W2389689794 created "2016-06-24" @default.
- W2389689794 creator A5060576365 @default.
- W2389689794 date "2005-01-01" @default.
- W2389689794 modified "2023-09-24" @default.
- W2389689794 title "Research of Rule Discovery Based on Granular Computing" @default.
- W2389689794 hasPublicationYear "2005" @default.
- W2389689794 type Work @default.
- W2389689794 sameAs 2389689794 @default.
- W2389689794 citedByCount "0" @default.
- W2389689794 crossrefType "journal-article" @default.
- W2389689794 hasAuthorship W2389689794A5060576365 @default.
- W2389689794 hasConcept C111012933 @default.
- W2389689794 hasConcept C120567893 @default.
- W2389689794 hasConcept C124101348 @default.
- W2389689794 hasConcept C154945302 @default.
- W2389689794 hasConcept C17209119 @default.
- W2389689794 hasConcept C172967692 @default.
- W2389689794 hasConcept C177264268 @default.
- W2389689794 hasConcept C199360897 @default.
- W2389689794 hasConcept C41008148 @default.
- W2389689794 hasConcept C45235069 @default.
- W2389689794 hasConcept C80444323 @default.
- W2389689794 hasConcept C84839998 @default.
- W2389689794 hasConceptScore W2389689794C111012933 @default.
- W2389689794 hasConceptScore W2389689794C120567893 @default.
- W2389689794 hasConceptScore W2389689794C124101348 @default.
- W2389689794 hasConceptScore W2389689794C154945302 @default.
- W2389689794 hasConceptScore W2389689794C17209119 @default.
- W2389689794 hasConceptScore W2389689794C172967692 @default.
- W2389689794 hasConceptScore W2389689794C177264268 @default.
- W2389689794 hasConceptScore W2389689794C199360897 @default.
- W2389689794 hasConceptScore W2389689794C41008148 @default.
- W2389689794 hasConceptScore W2389689794C45235069 @default.
- W2389689794 hasConceptScore W2389689794C80444323 @default.
- W2389689794 hasConceptScore W2389689794C84839998 @default.
- W2389689794 hasLocation W23896897941 @default.
- W2389689794 hasOpenAccess W2389689794 @default.
- W2389689794 hasPrimaryLocation W23896897941 @default.
- W2389689794 hasRelatedWork W1532677279 @default.
- W2389689794 hasRelatedWork W1660791202 @default.
- W2389689794 hasRelatedWork W2048412098 @default.
- W2389689794 hasRelatedWork W2110582769 @default.
- W2389689794 hasRelatedWork W2138574116 @default.
- W2389689794 hasRelatedWork W2160597251 @default.
- W2389689794 hasRelatedWork W2349553973 @default.
- W2389689794 hasRelatedWork W2350247864 @default.
- W2389689794 hasRelatedWork W2350522004 @default.
- W2389689794 hasRelatedWork W2359398315 @default.
- W2389689794 hasRelatedWork W2365906843 @default.
- W2389689794 hasRelatedWork W2370755174 @default.
- W2389689794 hasRelatedWork W2381555525 @default.
- W2389689794 hasRelatedWork W2609953328 @default.
- W2389689794 hasRelatedWork W2743430875 @default.
- W2389689794 hasRelatedWork W3140170279 @default.
- W2389689794 hasRelatedWork W58867887 @default.
- W2389689794 hasRelatedWork W617158045 @default.
- W2389689794 hasRelatedWork W2186995029 @default.
- W2389689794 hasRelatedWork W2788656904 @default.
- W2389689794 isParatext "false" @default.
- W2389689794 isRetracted "false" @default.
- W2389689794 magId "2389689794" @default.
- W2389689794 workType "article" @default.