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On Positive-Correlation-Promoting Reducts
cris.lastimport.scopus | 2024-02-12T20:10:22Z |
dc.abstract.en | We introduce a new rough-set-inspired binary feature selection framework, whereby it is preferred to choose attributes which let us distinguish between objects (cases, rows, examples) having different decision values according to the following mechanism: for objects u1 and u2 with decision values dec(u1)=0 and dec(u2)=1, it is preferred to select attributes a such that a(u1)=0 and a(u2)=1, with the secondary option – if the first one is impossible – to select a such that a(u1)=1 and a(u2)=0. We discuss the background for this approach, originally inspired by the needs of the genetic data analysis. We show how to derive the sets of such attributes – called positive-correlation-promoting reducts (PCP reducts in short) – using standard calculations over appropriately modified rough-set-based discernibility matrices. The proposed framework is implemented within the RoughSets R package which is widely used for the data exploration and knowledge discovery purposes. |
dc.affiliation | Uniwersytet Warszawski |
dc.conference.country | Kuba |
dc.conference.datefinish | 2020-07-03 |
dc.conference.datestart | 2020-06-29 |
dc.conference.place | Havana |
dc.conference.series | International Joint Conference on Rough Sets |
dc.conference.series | International Joint Conference on Rough Sets |
dc.conference.seriesshortcut | IJCRS (was RSCTC) |
dc.conference.shortcut | IJCRS 2020 |
dc.conference.weblink | https://dblp.org/rec/conf/rskt/2020.html |
dc.contributor.author | Ślęzak, Dominik |
dc.contributor.author | Henzel, Joanna |
dc.contributor.author | Janusz, Andrzej |
dc.contributor.author | Sikora, Marek |
dc.date.accessioned | 2024-01-25T15:45:31Z |
dc.date.available | 2024-01-25T15:45:31Z |
dc.date.issued | 2020 |
dc.description.finance | Publikacja bezkosztowa |
dc.description.volume | 12179 |
dc.identifier.doi | 10.1007/978-3-030-52705-1_16 |
dc.identifier.uri | https://repozytorium.uw.edu.pl//handle/item/114731 |
dc.identifier.weblink | https://doi.org/10.1007/978-3-030-52705-1_16 |
dc.language | eng |
dc.pbn.affiliation | computer and information sciences |
dc.relation.pages | 213--221 |
dc.rights | ClosedAccess |
dc.sciencecloud | nosend |
dc.subject.en | Rough sets |
dc.subject.en | Feature selection |
dc.subject.en | Discernibility |
dc.subject.en | Rule induction |
dc.subject.en | Positive-correlation-promoting reducts |
dc.subject.en | RoughSets R package |
dc.title | On Positive-Correlation-Promoting Reducts |
dc.type | JournalArticle |
dspace.entity.type | Publication |