Matches in SemOpenAlex for { <https://semopenalex.org/work/W2003184481> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2003184481 endingPage "294" @default.
- W2003184481 startingPage "284" @default.
- W2003184481 abstract "We are considering knowledge discovery from data describing a piece of real or abstract world. The patterns being induced put in evidence some laws hidden in the data. The most natural representation of patterns-laws is by “if..., then...” decision rules relating some conditions with some decisions. The same representation of patterns is used in multi-attribute classification, thus the data searched for discovery of these patterns can be seen as classification data. We adopt the classification perspective to present an original methodology of inducing general laws from data and representing them by so-called monotonic decision rules. Monotonicity concerns relationships between values of condition and decision attributes, e.g. the greater the mass (condition attribute), the greater the gravity (decision attribute), which is a specific feature of decision rules discovered from data using the Dominance-based Rough Set Approach (DRSA). While in DRSA one has to suppose a priori the presence or absence of positive or negative monotonicity relationships which hold in the whole evaluation space, in this paper, we show that DRSA can be adapted to discover rules from any kind of input classification data, exhibiting monotonicity relationships which are unknown a priori and hold in some parts of the evaluation space only. This requires a proper non-invasive transformation of the classification data, permitting representation of both positive and negative monotonicity relationships that are to be discovered by the proposed methodology. Reported results of a computational experiment confirm that the proposed methodology leads to decision rules whose predictive ability is similar to the best classification predictors. It has, however, a unique advantage over all competitors because the monotonic decision rules can be read as laws characterizing the analyzed phenomena in terms of easily understandable “if..., then...” decision rules, while other predictor models have no such straightforward interpretation." @default.
- W2003184481 created "2016-06-24" @default.
- W2003184481 creator A5022037756 @default.
- W2003184481 creator A5070170207 @default.
- W2003184481 creator A5082031795 @default.
- W2003184481 date "2012-03-01" @default.
- W2003184481 modified "2023-10-07" @default.
- W2003184481 title "Inductive discovery of laws using monotonic rules" @default.
- W2003184481 cites W1984210936 @default.
- W2003184481 cites W2028095785 @default.
- W2003184481 cites W2044876976 @default.
- W2003184481 cites W2050694803 @default.
- W2003184481 cites W2052719321 @default.
- W2003184481 cites W2101285186 @default.
- W2003184481 cites W2112468092 @default.
- W2003184481 doi "https://doi.org/10.1016/j.engappai.2011.09.003" @default.
- W2003184481 hasPublicationYear "2012" @default.
- W2003184481 type Work @default.
- W2003184481 sameAs 2003184481 @default.
- W2003184481 citedByCount "60" @default.
- W2003184481 countsByYear W20031844812012 @default.
- W2003184481 countsByYear W20031844812013 @default.
- W2003184481 countsByYear W20031844812014 @default.
- W2003184481 countsByYear W20031844812015 @default.
- W2003184481 countsByYear W20031844812016 @default.
- W2003184481 countsByYear W20031844812017 @default.
- W2003184481 countsByYear W20031844812018 @default.
- W2003184481 countsByYear W20031844812019 @default.
- W2003184481 countsByYear W20031844812020 @default.
- W2003184481 countsByYear W20031844812021 @default.
- W2003184481 countsByYear W20031844812022 @default.
- W2003184481 crossrefType "journal-article" @default.
- W2003184481 hasAuthorship W2003184481A5022037756 @default.
- W2003184481 hasAuthorship W2003184481A5070170207 @default.
- W2003184481 hasAuthorship W2003184481A5082031795 @default.
- W2003184481 hasConcept C111012933 @default.
- W2003184481 hasConcept C111472728 @default.
- W2003184481 hasConcept C119857082 @default.
- W2003184481 hasConcept C124101348 @default.
- W2003184481 hasConcept C134306372 @default.
- W2003184481 hasConcept C138885662 @default.
- W2003184481 hasConcept C154945302 @default.
- W2003184481 hasConcept C177264268 @default.
- W2003184481 hasConcept C17744445 @default.
- W2003184481 hasConcept C199360897 @default.
- W2003184481 hasConcept C199539241 @default.
- W2003184481 hasConcept C2776359362 @default.
- W2003184481 hasConcept C33923547 @default.
- W2003184481 hasConcept C41008148 @default.
- W2003184481 hasConcept C72169020 @default.
- W2003184481 hasConcept C75553542 @default.
- W2003184481 hasConcept C84839998 @default.
- W2003184481 hasConcept C94625758 @default.
- W2003184481 hasConceptScore W2003184481C111012933 @default.
- W2003184481 hasConceptScore W2003184481C111472728 @default.
- W2003184481 hasConceptScore W2003184481C119857082 @default.
- W2003184481 hasConceptScore W2003184481C124101348 @default.
- W2003184481 hasConceptScore W2003184481C134306372 @default.
- W2003184481 hasConceptScore W2003184481C138885662 @default.
- W2003184481 hasConceptScore W2003184481C154945302 @default.
- W2003184481 hasConceptScore W2003184481C177264268 @default.
- W2003184481 hasConceptScore W2003184481C17744445 @default.
- W2003184481 hasConceptScore W2003184481C199360897 @default.
- W2003184481 hasConceptScore W2003184481C199539241 @default.
- W2003184481 hasConceptScore W2003184481C2776359362 @default.
- W2003184481 hasConceptScore W2003184481C33923547 @default.
- W2003184481 hasConceptScore W2003184481C41008148 @default.
- W2003184481 hasConceptScore W2003184481C72169020 @default.
- W2003184481 hasConceptScore W2003184481C75553542 @default.
- W2003184481 hasConceptScore W2003184481C84839998 @default.
- W2003184481 hasConceptScore W2003184481C94625758 @default.
- W2003184481 hasIssue "2" @default.
- W2003184481 hasLocation W20031844811 @default.
- W2003184481 hasOpenAccess W2003184481 @default.
- W2003184481 hasPrimaryLocation W20031844811 @default.
- W2003184481 hasRelatedWork W2165634587 @default.
- W2003184481 hasRelatedWork W2219741085 @default.
- W2003184481 hasRelatedWork W2362625891 @default.
- W2003184481 hasRelatedWork W2370118692 @default.
- W2003184481 hasRelatedWork W2387621747 @default.
- W2003184481 hasRelatedWork W2389890090 @default.
- W2003184481 hasRelatedWork W2519291612 @default.
- W2003184481 hasRelatedWork W4214891796 @default.
- W2003184481 hasRelatedWork W1768477318 @default.
- W2003184481 hasRelatedWork W2101788134 @default.
- W2003184481 hasVolume "25" @default.
- W2003184481 isParatext "false" @default.
- W2003184481 isRetracted "false" @default.
- W2003184481 magId "2003184481" @default.
- W2003184481 workType "article" @default.