Matches in SemOpenAlex for { <https://semopenalex.org/work/W2008354022> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2008354022 abstract "Recently, spatial data mining and knowledge discovery are developed rapidly. In this paper, first, the developing status of spatial data mining and knowledge discovery are concluded; then deeply studying data mining in GIS and remote sensing are performed; third, Rough sets were executed with TM imagery to carry out data mining and knowledge discovery and finally acquiring feature rules of the relation between soil erosion and three elements: Vegetation cover, Slope and cropland. The paper gives support to land use and land reclaim effective. There are four parts are composed. In the first part some DM background are narrated and some problems hidden, which are very important for us to use, are brought forward. This is to say, much hiding information that is the thing we want most is waste. Then spatial data mining and knowledge discovery (short-hand SDNKD) were appeared in this background. An exhaustive study Dm is beyond the scope of this paper. In this study, we focus on two perspectives 1) integration DM with GIS. 2) Integration DM with RS. In the second part, we describe method of spatial data mining including: Apriori Algorithm, Rough Sets Theory, Inductive Learning, Clustering and so on, and emphasis on Rough Sets. Relationship among RS, GIS and DM are interpreted. Integration GIS with DM and Integration RS with DM are explained by fig1 and fig2 in the third part. An explicit example about soil erosion is depicted to explain the relations through Rough Set and some rules are acquired to give support to land use and land reclaim effective in the fourth part. At last, we conclude our study." @default.
- W2008354022 created "2016-06-24" @default.
- W2008354022 creator A5049341927 @default.
- W2008354022 creator A5064767131 @default.
- W2008354022 creator A5089336064 @default.
- W2008354022 date "2005-10-31" @default.
- W2008354022 modified "2023-10-18" @default.
- W2008354022 title "The study on rough set in GIS and remote sensing" @default.
- W2008354022 cites W1530612431 @default.
- W2008354022 cites W1540557141 @default.
- W2008354022 cites W1567056755 @default.
- W2008354022 cites W1810240506 @default.
- W2008354022 cites W2125282628 @default.
- W2008354022 cites W2140190241 @default.
- W2008354022 cites W2764793692 @default.
- W2008354022 cites W3161628229 @default.
- W2008354022 cites W616927999 @default.
- W2008354022 cites W70954336 @default.
- W2008354022 cites W2736246681 @default.
- W2008354022 doi "https://doi.org/10.1117/12.651214" @default.
- W2008354022 hasPublicationYear "2005" @default.
- W2008354022 type Work @default.
- W2008354022 sameAs 2008354022 @default.
- W2008354022 citedByCount "1" @default.
- W2008354022 crossrefType "proceedings-article" @default.
- W2008354022 hasAuthorship W2008354022A5049341927 @default.
- W2008354022 hasAuthorship W2008354022A5064767131 @default.
- W2008354022 hasAuthorship W2008354022A5089336064 @default.
- W2008354022 hasConcept C111012933 @default.
- W2008354022 hasConcept C119857082 @default.
- W2008354022 hasConcept C120567893 @default.
- W2008354022 hasConcept C124101348 @default.
- W2008354022 hasConcept C127413603 @default.
- W2008354022 hasConcept C147176958 @default.
- W2008354022 hasConcept C159620131 @default.
- W2008354022 hasConcept C177264268 @default.
- W2008354022 hasConcept C199360897 @default.
- W2008354022 hasConcept C205649164 @default.
- W2008354022 hasConcept C2522767166 @default.
- W2008354022 hasConcept C25343380 @default.
- W2008354022 hasConcept C2778012447 @default.
- W2008354022 hasConcept C2780648208 @default.
- W2008354022 hasConcept C41008148 @default.
- W2008354022 hasConcept C4792198 @default.
- W2008354022 hasConcept C62649853 @default.
- W2008354022 hasConcept C73555534 @default.
- W2008354022 hasConceptScore W2008354022C111012933 @default.
- W2008354022 hasConceptScore W2008354022C119857082 @default.
- W2008354022 hasConceptScore W2008354022C120567893 @default.
- W2008354022 hasConceptScore W2008354022C124101348 @default.
- W2008354022 hasConceptScore W2008354022C127413603 @default.
- W2008354022 hasConceptScore W2008354022C147176958 @default.
- W2008354022 hasConceptScore W2008354022C159620131 @default.
- W2008354022 hasConceptScore W2008354022C177264268 @default.
- W2008354022 hasConceptScore W2008354022C199360897 @default.
- W2008354022 hasConceptScore W2008354022C205649164 @default.
- W2008354022 hasConceptScore W2008354022C2522767166 @default.
- W2008354022 hasConceptScore W2008354022C25343380 @default.
- W2008354022 hasConceptScore W2008354022C2778012447 @default.
- W2008354022 hasConceptScore W2008354022C2780648208 @default.
- W2008354022 hasConceptScore W2008354022C41008148 @default.
- W2008354022 hasConceptScore W2008354022C4792198 @default.
- W2008354022 hasConceptScore W2008354022C62649853 @default.
- W2008354022 hasConceptScore W2008354022C73555534 @default.
- W2008354022 hasLocation W20083540221 @default.
- W2008354022 hasOpenAccess W2008354022 @default.
- W2008354022 hasPrimaryLocation W20083540221 @default.
- W2008354022 hasRelatedWork W1578100799 @default.
- W2008354022 hasRelatedWork W2026660641 @default.
- W2008354022 hasRelatedWork W2044215346 @default.
- W2008354022 hasRelatedWork W2054449235 @default.
- W2008354022 hasRelatedWork W2082593161 @default.
- W2008354022 hasRelatedWork W2143928158 @default.
- W2008354022 hasRelatedWork W2385943539 @default.
- W2008354022 hasRelatedWork W2506273305 @default.
- W2008354022 hasRelatedWork W4252216385 @default.
- W2008354022 hasRelatedWork W50633494 @default.
- W2008354022 isParatext "false" @default.
- W2008354022 isRetracted "false" @default.
- W2008354022 magId "2008354022" @default.
- W2008354022 workType "article" @default.